
import os
import glob
import warnings
import pandas as pd
import numpy as np
import seaborn as sns
from lazyme.string import color_print
pd.options.mode.chained_assignment = None
pd.set_option('display.max_columns', None)
warnings.simplefilter(action='ignore', category=FutureWarning)
import matplotlib.pyplot as plt 
from lifelines import *
from sklearn.preprocessing import StandardScaler
from matplotlib_venn import venn3
from scipy import stats
from sklearn.decomposition import PCA
from sklearn import preprocessing

global_path = "/Users/alba/Desktop/TFM"
imatges_path = glob.glob(f"{global_path}/data/imatges/*")
taules_path = f"{global_path}/data/taules"


# cargamos el conjunto de datos
raw_df_nki = pd.read_csv(f"{taules_path}/NKI.csv", low_memory=False)


# eliminamos las características que no aportan información para el estudio en cuestión
drop_features_nki = ['Patient','ID','barcode']
raw_df_nki.drop(drop_features_nki,axis=1,inplace=True)


# visualizamos las primeras filas del conjunto de datos
raw_df_nki.head()


# creamos la variable objetivo: survival_5years
raw_df_nki['survival_5years'] = raw_df_nki['survival'].apply(lambda x: 1 if x >= 5 else 0)


# separamos las variables clínicas de las genéticas para una mejor interpretación
# solo datos clínicos
features_to_drop = raw_df_nki.columns[13:]
clinical_df = raw_df_nki.drop(features_to_drop, axis=1)
clinical_df['survival_5years'] = raw_df_nki['survival_5years']
# solo datos genéticos
features_to_drop2 = raw_df_nki.columns[:13:]
data_gen = raw_df_nki.drop(features_to_drop2, axis=1)
data_gen.drop('survival_5years', axis=1, inplace=True)


# observamos las categorías únicas para cada una de las variables clínicas
print(pd.Series({col:clinical_df[col].unique() for col in clinical_df}))

age                [43, 48, 38, 50, 42, 47, 39, 32, 45, 31, 41, 4...
eventdeath                                                    [0, 1]
survival           [14.817248000000001, 14.261465, 6.644764, 7.74...
timerecurrence     [14.817248000000001, 14.261465, 6.644764, 7.74...
chemo                                                         [0, 1]
hormonal                                                      [0, 1]
amputation                                                    [1, 0]
histtype                                             [1, 2, 5, 7, 4]
diam               [25, 20, 15, 10, 18, 17, 12, 40, 45, 30, 19, 5...
posnodes                      [0, 1, 3, 2, 4, 6, 9, 7, 5, 8, 13, 11]
grade                                                      [2, 3, 1]
angioinv                                                   [3, 1, 2]
lymphinfil                                                 [1, 2, 3]
survival_5years                                               [1, 0]
dtype: object


# observamos las categorías únicas para cada una de las variables genéticas
print(pd.Series({col:data_gen[col].unique() for col in data_gen}))

esr1              [-0.413955, 0.195251, 0.5961770000000001, 0.50...
G3PDH_570         [-0.9542459999999999, 0.244626, 0.082434000000...
Contig45645_RC    [0.051024, -0.199602, -0.156199, -0.2060409999...
Contig44916_RC    [-0.111203, -0.111397, -0.08498, -0.051775, -0...
D25272            [-0.050066, -0.135207, -0.179003, -0.049676, -...
                                        ...                        
Contig29014_RC    [-0.038726, -0.100088, -0.099965, -0.167688, -...
Contig46616_RC    [0.23785599999999998, -0.466537, 0.11015499999...
NM_000888         [-0.087631, -0.23154699999999998, -0.114298, -...
NM_000898         [-0.369153, -0.643019, 0.258495, -0.251188, -0...
AF067420          [0.15379500000000002, -0.014098, -0.1989109999...
Length: 1554, dtype: object


# valores ausentes de cada atributo
raw_df_nki.isnull().sum()

age                0
eventdeath         0
survival           0
timerecurrence     0
chemo              0
                  ..
Contig46616_RC     0
NM_000888          0
NM_000898          0
AF067420           0
survival_5years    0
Length: 1568, dtype: int64


# renombración valores variables
clinical_df.survival_5years = clinical_df.survival_5years.astype(bool)
clinical_df.eventdeath = clinical_df.eventdeath.astype(bool)
clinical_df.chemo = clinical_df.chemo.astype(bool)
clinical_df.hormonal = clinical_df.hormonal.astype(bool)
clinical_df.amputation = clinical_df.amputation.astype(bool)
clinical_df.age = clinical_df.age.astype(float)
clinical_df.diam = clinical_df.diam.astype(float)
clinical_df.posnodes = clinical_df.posnodes.astype(float)


# dimensiones del conjunto de datos
color_print('\nDimensiones del conjunto de datos:', color='red')
print(f"{raw_df_nki.shape[0]} filas y {raw_df_nki.shape[1]} columnas")


Dimensiones del conjunto de datos:
272 filas y 1568 columnas


# función para normalizar un conjunto de datos numéricos
def to_standard (df):
    
    ss = StandardScaler()
    num_df = df[df.select_dtypes(include = np.number).columns.tolist()]
    std = ss.fit_transform(num_df)
    
    return pd.DataFrame(std, index = num_df.index, columns = num_df.columns)


# boxplot de los atributos clínicos numéricos normalizados
plt.figure(figsize=(10, 5))
plt.title('Distribución de los atributos clínicos numéricos normalizados', fontsize=12)
sns.boxplot(x="value", y="variable", data=pd.melt(to_standard(clinical_df)), palette ='magma')
plt.xlabel('valores normalizados', size=10)
plt.ylabel('', size=10)
b, t = plt.xlim()  
b += 0.5 
t -= 0.5 
plt.xlim(b, t) 
plt.show()


# número de valores atípicos en cada atributo clínico
Q1 = clinical_df.quantile(0.25)
Q3 = clinical_df.quantile(0.75)
IQR = Q3 - Q1
((clinical_df < (Q1 - 1.5 * IQR)) | (clinical_df > (Q3 + 1.5 * IQR))).sum().sort_values(ascending = False).head(7)

lymphinfil         49
survival_5years    48
hormonal           36
histtype           18
posnodes           14
survival            2
age                 2
dtype: int64


# histogramas de densidad
fig = plt.figure(figsize = (20, 10))
j = 0
num_clinical_columns= list(clinical_df.select_dtypes(include=['float64']).columns)
for i in raw_df_nki[num_clinical_columns].columns:
    plt.subplot(2, 3, j+1)
    j += 1
    sns.distplot(clinical_df[i][clinical_df['survival_5years']==0], color='darkviolet', label = 'survived',bins=15)
    sns.distplot(clinical_df[i][clinical_df['survival_5years']==1], color='darkturquoise', label = 'died',bins=15)
    plt.legend(loc='best')
    plt.xlabel('')
    plt.title(i)
fig.suptitle('Distribución atributos numéricos según la supervivencia', fontsize=20)
fig.tight_layout()
fig.subplots_adjust(top=0.92)
plt.show()


# boxplots
fig = plt.figure(figsize = (20, 10))
j = 0
for i in raw_df_nki[num_clinical_columns].columns:
    plt.subplot(2, 3, j+1)
    j += 1
    sns.boxplot(x=i, y='survival_5years', orient='h', data=clinical_df, palette=('darkviolet','darkturquoise'))
    plt.yticks([-0.5, 0, 1, 1.5], ['','Survived', 'Died',''])
    plt.ylabel('')
    plt.xlabel('')
    plt.title(i)
fig.suptitle('Distribución atributos numéricos según la supervivencia', fontsize=20)
fig.tight_layout()
fig.subplots_adjust(top=0.92)
plt.show()


# resumen estadístico atributos numéricos
raw_df_nki[num_clinical_columns].describe().T


# Distribución de los atributos clínicos categóricos según la supervivencia
fig = plt.figure(figsize = (20, 10))
j = 0
cat_clinical_columns = list(clinical_df.select_dtypes(include=['bool','int64','object']).columns)
cat_clinical_columns.remove('survival_5years')
for i in cat_clinical_columns:
    plt.subplot(2, 4, j+1)
    j += 1
    
    # cálculo de los porcentajes
    counts = clinical_df[i].value_counts().reset_index().rename(columns={i: 'count', 'index': i})
    survival_counts = clinical_df.groupby([i, 'survival_5years']).size().reset_index(name='survival_count')
    all_df = survival_counts.merge(counts)
    survival_counts['total']= all_df['survival_count'] / len(clinical_df['survival_5years']) * 100
    # gráfico
    sns.barplot(x=i, y='total', hue='survival_5years', data=survival_counts, palette=('darkviolet', 'darkturquoise'))
    plt.ylabel('Percentage of patients')
    plt.xlabel('')
    plt.title(i)
    plt.xticks(rotation=90)
    plt.ylim(0, 100)
    
fig.suptitle('Distribución de los atributos clínicos categóricos según la supervivencia',fontsize=20)
fig.tight_layout()
fig.subplots_adjust(top=0.92)
plt.show()


# resumen estadístico atributos categóricos
clinical_df[cat_clinical_columns].astype('category').describe().T


# características medias de un paciente
print("Edad promedio: " + "%.3f" %np.mean(clinical_df['age']))
print("Diámetro medio del tumor: " + "%.3f" %np.mean(clinical_df['diam']))
print("Grado medio: " + "%.3f" %np.mean(clinical_df['grade']))
print("Probabilidad de supervivencia 5 años: "+ "%.3f" %(clinical_df["survival_5years"].value_counts()/clinical_df["survival_5years"].count()*100).iloc[0])

Edad promedio: 44.048
Diámetro medio del tumor: 22.529
Grado medio: 2.129
Probabilidad de supervivencia 5 años: 82.353


# creamos subconjuntos para cada combinación de tratamientos
chemo = raw_df_nki[(raw_df_nki["chemo"]==True) & (raw_df_nki["amputation"]==False) & (raw_df_nki["hormonal"]==False)]
amputation = raw_df_nki[(raw_df_nki["chemo"]==False) & (raw_df_nki["amputation"]==True) & (raw_df_nki["hormonal"]==False)]
hormonal = raw_df_nki[(raw_df_nki["chemo"]==False) & (raw_df_nki["amputation"]==False) & (raw_df_nki["hormonal"]==True)]
chemo_amputation = raw_df_nki[(raw_df_nki["chemo"]==True) & (raw_df_nki["amputation"]==True) & (raw_df_nki["hormonal"]==False)]
amputation_hormonal = raw_df_nki[(raw_df_nki["chemo"]==False) & (raw_df_nki["amputation"]==True) & (raw_df_nki["hormonal"]==True)]
hormonal_chemo = raw_df_nki[(raw_df_nki["chemo"]==True) & (raw_df_nki["amputation"]==False) & (raw_df_nki["hormonal"]==True)]
all_3 = raw_df_nki[(raw_df_nki["chemo"]==True) & (raw_df_nki["amputation"]==True) & (raw_df_nki["hormonal"]==True)]
any_3 = raw_df_nki[(raw_df_nki["chemo"]==False) & (raw_df_nki["amputation"]==False) & (raw_df_nki["hormonal"]==False)]

# gráfico teniendo en cuenta el tamaño de los círculos y el color en relación con el tamaño de cada subconjunto
fig, ax = plt.subplots(figsize=(10,10))
v = venn3(subsets=[len(chemo), len(amputation), len(chemo_amputation), len(hormonal),len(hormonal_chemo), len(amputation_hormonal), len(all_3)], set_labels=("chemo", "amputation", "hormonal"), ax=ax, alpha=0.6, set_colors=sns.diverging_palette(300, 145, s=60))

ax.set_title("Número de pacientes por tratamiento", size=15)
plt.show()


print(f'Pacientes sin ningún tratamiento administrado: {len(any_3)}')

Pacientes sin ningún tratamiento administrado: 87


# agrupamos los datos por las variables y calculamos la tasa de supervivencia
grouped = clinical_df.groupby(['chemo','amputation', 'hormonal'])['survival_5years'].mean().reset_index()
grouped.columns = ['chemo','amputation', 'hormonal', 'survival_rate']
grouped


# survival_rate promedio
print("Proporción de supervivencia promedio:", ("%.3f" %np.mean(clinical_df["survival_5years"])))

Proporción de supervivencia promedio: 0.824


# gráfico de correlaciones
fig, axs = plt.subplots(figsize = (15, 15)) 
mask = np.triu(np.ones_like(clinical_df.corr(), dtype = np.bool))
sns.heatmap(clinical_df.corr(), ax = axs, mask = mask, cmap=sns.diverging_palette(250, 300, s=80, l=55, as_cmap=True),)
plt.title('Correlaciones de atributos clínicos')
b, t = plt.ylim()
b += 0.5
t -= 0.5
plt.ylim(b, t)
plt.show()


# eliminación de variables correlacionadas
raw_df_nki = raw_df_nki.drop(['timerecurrence','eventdeath','survival'], axis=1)
clinical_df = clinical_df.drop(['timerecurrence','eventdeath','survival'], axis=1)


# gráfico final de correlaciones
fig, axs = plt.subplots(figsize = (15, 15)) 
mask = np.triu(np.ones_like(clinical_df.corr(), dtype = np.bool))
sns.heatmap(clinical_df.corr(), ax = axs, mask = mask, cmap=sns.diverging_palette(250, 300, s=80, l=55, as_cmap=True),)
plt.title('Correlaciones de atributos clínicos')
b, t = plt.ylim()
b += 0.5
t -= 0.5
plt.ylim(b, t)
plt.show()


# matriz de correlación con la variable objetivo 'survival_5years'
target_cor_matrix = clinical_df.corr()[['survival_5years']].sort_values('survival_5years',ascending=True)

# heatmap
plt.figure(figsize = (3, 15))
ax=sns.heatmap(target_cor_matrix, annot=True, cmap=sns.diverging_palette(250, 300, s=80, l=55, as_cmap=True),linewidth=0.3,fmt=".2f", vmax=1.00, vmin=-1.00)
ax.set_title(label='correlaciones de survival_5years con el resto de variables\n', fontsize=12)
ax.set(ylim=(0, target_cor_matrix.shape[0]))
plt.show()


# separamos las variables clínicas de las genéticas para una mejor interpretación
# solo datos genéticos
features_to_drop2 = raw_df_nki.columns[:10:]
data_gen = raw_df_nki.drop(features_to_drop2, axis=1)


# binarizamos la variable objetivo
data_gen['survival_5years'] = raw_df_nki['survival_5years'].replace([False,True],[0,1]).astype(int)


# estadísticas de los datos genéticos
data_gen.drop('survival_5years',axis=1).describe().T


# Visualización de la expresión génica en un heatmap
fig, axs = plt.subplots(figsize = (30, 10)) 
sns.heatmap(data_gen.drop('survival_5years',axis=1), ax = axs, cmap=sns.diverging_palette(250, 300, s=80, l=55, as_cmap=True))
plt.title('Heatmap expresión génica')
b, t = plt.ylim() 
b += 0.5 
t -= 0.5 
plt.ylim(b, t) 
plt.show()


# distribución atributos genéticos según la supervivencia --> solo 100 de los 1554...
fig = plt.figure(figsize = (20, 40))
j = 0
num_gen_columns= list(data_gen.select_dtypes(include=['float64']).columns)[:100]
for i in num_gen_columns:
    plt.subplot(20, 5, j+1)
    j += 1
    sns.distplot(data_gen[i][data_gen['survival_5years']==1], color='r', label = 'died',bins=15)
    sns.distplot(data_gen[i][data_gen['survival_5years']==0], color='g', label = 'survived',bins=15)
    plt.legend(loc='best')
    plt.xlabel('')
    plt.title(i)
fig.suptitle('Distribución atributos genéticos según la supervivencia', fontsize=20)
fig.tight_layout()
fig.subplots_adjust(top=0.92)
plt.show()


# número de valores atípicos para cada gen
Q1 = data_gen.drop('survival_5years',axis=1).quantile(0.25)
Q3 = data_gen.drop('survival_5years',axis=1).quantile(0.75)
IQR = Q3 - Q1
((data_gen.drop('survival_5years',axis=1) < (Q1 - 1.5 * IQR)) | (data_gen.drop('survival_5years',axis=1) > (Q3 + 1.5 * IQR))).sum().sort_values(ascending = False).head()

NM_002509         55
NM_001942         53
NM_000509         51
G3PDH_570         48
Contig44191_RC    47
dtype: int64


# gráfico correlación genes y survival_5years
fig, ax = plt.subplots(figsize=(10,4))
corrs=[]
for col in data_gen.columns:
    corrs.append(data_gen[[col,'survival_5years']].corr()['survival_5years'][col])

corrs.pop(-1)
ax.hist(corrs,  bins=25, color = 'darkturquoise')
ax.set_xlabel("Correlación")
ax.set_ylabel("Número de genes")
ax.set_title("Histograma correlación genes con supervivencia 5 años", size=12)
plt.show()


print("Correlación positiva más alta: " + "%.3f" %max(corrs))
print("Correlación negativa más alta: " + "%.3f" %min(corrs))
print("Correlación media: " + "%.3f" %np.mean(corrs))

Correlación positiva más alta: 0.373
Correlación negativa más alta: -0.343
Correlación media: 0.011


# Correlaciones atributos genéticos
fig, axs = plt.subplots(figsize = (100, 100)) 
mask = np.triu(np.ones_like(data_gen.corr(), dtype = np.bool))
sns.heatmap(data_gen.corr(), ax = axs, mask=mask, cmap=sns.diverging_palette(250, 300, s=80, l=55, as_cmap=True))
plt.title('Correlaciones atributos genéticos')
b, t = plt.ylim() 
b += 0.5 
t -= 0.5 
plt.ylim(b, t)
plt.show()


# correlaciones de las variables genéticas con la variable objetivo 'survival_5years'
target_cor_matrix = data_gen.corr()[['survival_5years']].sort_values('survival_5years',ascending=True)
target_cor_matrix


# aplicamos PCA
X = data_gen.drop(['survival_5years'],axis=1).values 
pca = PCA(n_components=100)

# normalizar y transformar los datos
X_pca = pca.fit_transform(preprocessing.scale(X))

print('Dimensiones conjunto de datos original: {}'.format(X.shape))
print('Dimensiones conjunto de datos transformado: {}'.format(X_pca.shape))

Dimensiones conjunto de datos original: (272, 1554)
Dimensiones conjunto de datos transformado: (272, 100)


# definimos el nombre de las nuevas variables: C (de componente) + el número 
name_col=['C'+str(num) for num in range(0,100)]


# creamos un conjunto de datos que incluya la información genética reducida junto con los datos clínicos preprocesados
resultado = pd.concat([clinical_df,pd.DataFrame(X_pca,columns=name_col)],axis=1)
resultado


# guardamos el conjunto de datos resultante
resultado.to_csv('{}/data/taules/NKI_PCA.csv'.format(global_path), header=True, sep="\t",index=False)

	age	survival	timerecurrence	hormonal	amputation	histtype	diam	posnodes	grade	angioinv	lymphinfil	esr1	G3PDH_570	Contig45645_RC	Contig44916_RC	D25272	J00129	Contig29982_RC	Contig56678_RC	Contig53047_RC	Contig19551	Contig47230_RC	Contig46501_RC	Contig20749_RC	AL157500	AL157502	Contig37376_RC	Contig45395_RC	X98307	AL157505	AB033027	Contig24026_RC	Contig27800_RC	Contig42500_RC	Contig7147	Contig32037_RC	Contig16374_RC	Contig42349_RC	Contig33976_RC	Contig49874_RC	AB033060	U45975	M34428	AB033083	NM_003004	Contig7192	Contig23039_RC	Contig22685_RC	D84140	Contig43806_RC	NM_003022	Contig54847_RC	Contig33260_RC	NM_002300	Contig13929_RC	NM_002318	NM_003058	Contig66143_RC	Contig44519_RC	NM_001609	Contig17206_RC	NM_001611	NM_002341	NM_001612	NM_002343	NM_001615	NM_002345	NM_003081	NM_001627	NM_002358	Contig50838_RC	NM_000900	NM_000903	NM_001635	NM_000909	NM_000912	NM_001645	NM_001647	Contig35896_RC	NM_000926	NM_001657	NM_000930	NM_000931	NM_000936	NM_002395	NM_001674	NM_001676	NM_001677	X04706	D25328	Contig37076	Contig44366	NM_000959	Contig46463_RC	Contig5443_RC	NM_001692	NM_000963	NM_000964	Contig50122_RC	Contig25711_RC	Contig33121_RC	Contig12593_RC	U22027	U22028	U22029	AF041410	Contig15750_RC	Contig26182_RC	Contig22423_RC	Contig15133_RC	X99142	U46752	X72308	Contig25195_RC	Contig47045_RC	Contig42789_RC	Contig27623_RC	Contig27014_RC	NM_003104	Contig56386_RC	Contig46909_RC	NM_003108	Contig41360_RC	Contig39385_RC	NM_003118	Contig52018_RC	Contig43645_RC	NM_002407	Contig20600_RC	NM_002411	Contig52994_RC	NM_002416	Contig9541_RC	Contig21930_RC	Contig50927_RC	NM_002421	NM_002422	NM_002425	NM_002426	NM_003155	NM_002427	Contig46802_RC	NM_001710	NM_002443	NM_001717	NM_002449	NM_001723	NM_003181	NM_001725	NM_002456	NM_002457	NM_001732	NM_002462	NM_001734	NM_001740	NM_002478	NM_002483	NM_001756	NM_001758	Contig30045_RC	NM_001764	Contig21063_RC	Contig18502_RC	Contig33811_RC	Contig37562_RC	Contig36440	NM_001786	Contig15329_RC	Contig38517_RC	NM_001793	Contig7809_RC	NM_001797	AF090920	Contig54547_RC	Contig14967_RC	Contig61829_RC	Contig35765	Contig35237_RC	AW025980_RC	AL133038	Contig34258_RC	Contig41548_RC	AF201951	AB041269	AL133074	Contig50288_RC	AL133086	AL133087	Contig8165_RC	Contig33888_RC	Contig53445_RC	Contig40712_RC	Contig23711_RC	Contig29755_RC	NM_003206	NM_003225	NM_003226	NM_003234	NM_003236	NM_002509	NM_003239	NM_002515	NM_003246	NM_003247	NM_003248	Contig44439_RC	NM_002521	NM_003256	NM_003258	Contig43476_RC	NM_001809	NM_001814	NM_002544	NM_002546	NM_001819	NM_001823	NM_003283	NM_003287	Contig22716_RC	NM_001831	NM_003294	NM_001838	Contig52960_RC	Contig45670_RC	Contig16756_RC	NM_002570	NM_001844	NM_002575	L11645	Contig15418_RC	NM_001853	NM_001854	NM_002590	NM_002591	Contig21136_RC	Contig29015_RC	Contig40196_RC	NM_001870	NM_001871	NM_001872	NM_001873	NM_001877	NM_001878	NM_001882	Contig28528	NM_001884	NM_001885	NM_001888	Contig51981_RC	Contig42624_RC	Contig40789_RC	Contig28549	AA600139_RC	Contig44909_RC	Contig49532_RC	Contig39678_RC	Contig28028_RC	Contig21021_RC	Contig31333_RC	Contig47832_RC	U47671	Contig33376_RC	Contig30955_RC	Contig14683_RC	Contig41530_RC	Contig38826_RC	NM_020038	Contig44544_RC	NM_004003	Contig8839_RC	NM_004010	U05589	Contig29828_RC	Contig15531_RC	NM_003311	NM_012067	Contig5710_RC	Contig53411_RC	NM_002614	NM_002620	Contig54058	NM_002628	NM_003358	NM_003359	NM_004088	AB007936	Contig25593_RC	NM_001901	NM_002639	NM_003376	NM_003378	AB007954	NM_001920	NM_002652	NM_001926	NM_001928	Contig21225_RC	R70506_RC	NM_003392	NM_002666	Contig57138_RC	NM_001942	NM_001944	Contig36761_RC	Contig48156_RC	Contig16595_RC	NM_001956	NM_002686	NM_001958	Contig31295_RC	NM_001964	NM_002697	Contig56167_RC	NM_001979	Contig52182_RC	NM_001990	NM_001993	NM_001999	Contig35977	Contig35978	Contig9681_RC	Contig53022_RC	Contig46942_RC	Contig26310_RC	Contig46934_RC	Contig22408_RC	Contig28970_RC	NM_012101	Contig46918_RC	NM_020130	NM_004100	X66087	NM_004114	Contig53357_RC	NM_020162	NM_020163	Contig21187_RC	NM_004131	NM_020178	NM_003412	NM_004143	NM_003430	NM_002705	NM_002711	NM_004170	NM_004171	Contig27967_RC	NM_004176	NM_004181	NM_004185	NM_004190	NM_003462	NM_002737	NM_003474	Contig44260_RC	Contig46553_RC	NM_003489	Contig37571_RC	NM_002763	NM_002774	NM_002775	Contig53226_RC	Contig21665_RC	Contig16202_RC	S70004	Contig20686_RC	Contig8898_RC	U64564	S62027	Contig31862_RC	Contig34884_RC	Contig2237_RC	Contig1508_RC	Contig48715_RC	Contig48106_RC	Contig37898_RC	Contig30516_RC	Contig48707_RC	Contig27120_RC	Contig30274_RC	Contig33296_RC	AF035288	Contig31596_RC	NM_020215	Contig38746_RC	Contig19452_RC	Contig13866_RC	Contig16422_RC	NM_004203	NM_020244	NM_004207	Contig29147_RC	NM_004213	NM_012242	Contig45786_RC	AB040886	AB018289	NM_003500	NM_003506	NM_003508	NM_003512	NM_004244	NM_003516	NM_004245	NM_012269	NM_003520	NM_004252	NM_002800	Contig53506	NM_004265	NM_002809	NM_003538	NM_002820	NM_003561	NM_004291	NM_002844	NM_003578	Contig28670_RC	NM_002852	NM_002854	NM_002855	Contig53307_RC	NM_002864	Contig52945_RC	NM_002888	AF172932	NM_002899	Contig36064_RC	Contig15169_RC	Contig38500_RC	Contig34372_RC	Contig44870	Contig50628_RC	Contig50019_RC	Contig6212_RC	Contig45397_RC	AF052090	AF052095	Contig34957_RC	Contig43096_RC	Contig45389_RC	Contig50979_RC	Contig15038_RC	NM_021012	NM_021015	AB040900	AB018305	AL117406	Contig39556_RC	AB018311	AL117418	AB040923	AB040926	AB040930	NM_005010	AB018345	NM_005025	NM_012319	NM_021069	Contig40552_RC	AB040957	AL117452	NM_021076	X56807	Contig28866_RC	NM_004315	NM_005046	NM_012337	NM_012339	AB032953	NM_012342	AB032962	Contig30833_RC	M27749	Contig42228_RC	Contig27294_RC	NM_020372	NM_005063	NM_020373	NM_004335	NM_004336	NM_005067	NM_005069	Contig56434_RC	Contig44287_RC	NM_003613	NM_003615	NM_004345	NM_003617	NM_004351	NM_005080	NM_004354	NM_005084	NM_004358	NM_004360	NM_004361	NM_004362	NM_004369	Contig31546_RC	NM_003641	NM_003645	NM_004374	NM_004378	NM_012397	Contig18296_RC	Contig45600	NM_002923	NM_003652	NM_004385	NM_003657	NM_002932	NM_004392	Contig47077	AJ270996	Contig27405_RC	NM_002963	NM_002964	NM_002965	Contig23420_RC	U80736	Contig37483_RC	Contig43435_RC	Contig38438_RC	NM_002983	NM_002984	NM_002985	NM_002986	NM_002988	NM_002989	NM_002996	NM_002997	U56725	Contig54603_RC	AF052176	Contig32136_RC	Contig29699	Contig6051_RC	Contig11142_RC	Contig9229	Contig50360_RC	Contig27032_RC	Contig53007_RC	Contig57359_RC	NM_021127	NM_021136	NM_021139	NM_005101	NM_020411	AL133566	NM_021147	Contig442_RC	Contig25090_RC	Contig52629_RC	Contig28947_RC	Contig1063_RC	AL117553	NM_005130	NM_005132	NM_004405	NM_004406	NM_005139	NM_012429	NM_004415	NM_004417	Contig43639_RC	NM_012445	NM_004430	NM_005165	NM_020477	Contig28697_RC	NM_003714	NM_012467	NM_004448	Contig54425	NM_005181	NM_003725	NM_004456	NM_005187	NM_004460	Contig43998_RC	NM_005196	Contig20953_RC	Contig59287_RC	NM_003740	NM_004472	Contig50822_RC	NM_004482	NM_004484	NM_004490	NM_004496	Contig50814_RC	NM_003785	NM_003786	NM_003787	NM_003790	Contig38285_RC	Contig6848_RC	Contig5403_RC	AF131741	Contig9755_RC	AF131756	Contig40829_RC	AF131770	Contig39492_RC	AF131784	AL133619	U06715	AL133644	AL117612	NM_013230	NM_013231	NM_005213	AL117638	NM_005218	NM_013253	NM_005235	AF176012	NM_004522	NM_005252	NM_004525	X16302	NM_003806	Contig47220	Contig52970_RC	NM_005288	Contig19179_RC	NM_003832	Contig54536	NM_004566	NM_003843	Contig38983_RC	NM_004585	NM_003862	NM_004594	Contig59870_RC	NM_003878	Contig41905_RC	NM_003881	Contig46567	NM_003888	NM_003890	NM_003897	Contig15313_RC	Contig19064_RC	Contig28038_RC	Contig51967_RC	Contig37873	AF131851	Contig35814_RC	Contig45291_RC	Contig43833_RC	Contig55228_RC	Contig1850_RC	NM_014004	Contig20629_RC	NM_006006	AF026941	NM_006017	Contig14812_RC	NM_006025	AL109706	NM_013324	Contig46597_RC	Contig16262_RC	NM_005310	X57809	NM_005319	NM_005320	X57819	NM_005325	NM_014073	NM_014074	NM_005326	NM_020639	NM_014086	NM_013357	NM_005342	NM_006071	NM_006073	NM_013363	NM_004616	NM_020659	U83115	NM_013372	NM_006086	NM_005357	NM_005362	NM_020672	NM_006096	NM_005368	Contig35298_RC	NM_005375	AJ249377	NM_005382	Contig7755_RC	AL109791	NM_004664	NM_003937	NM_005396	NM_005398	NM_004670	NM_004684	Contig51463_RC	NM_004694	NM_004695	NM_004696	NM_003975	NM_003979	Contig54477_RC	NM_003981	NM_003986	Contig27900_RC	Contig48043_RC	Contig39670_RC	Contig53641_RC	Contig27749_RC	Contig50603_RC	Contig54354_RC	Contig9810_RC	Contig37946_RC	Contig3607_RC	NM_014112	NM_006103	NM_006107	NM_006113	Contig8222_RC	NM_006115	Contig53968_RC	NM_013409	Contig51066_RC	NM_013410	NM_006121	M29540	Contig35629_RC	NM_013421	NM_005408	NM_005409	NM_006138	Contig20603_RC	NM_005410	X82693	NM_006142	Contig46204_RC	NM_006157	NM_006159	NM_004701	NM_004702	Contig11613_RC	NM_004711	NM_004734	NM_006198	AF000990	Contig40368_RC	NM_005478	NM_004750	AJ223352	AJ223353	NM_004774	Contig23502_RC	NM_004780	Contig66705_RC	NM_004792	NM_004796	X07834	Contig56143_RC	Contig11097_RC	Contig45703_RC	Contig31864_RC	J02639	Contig38171_RC	AF116715	Contig17411_RC	Contig33899_RC	Contig44708_RC	Contig43136_RC	Contig46301_RC	NM_014211	NM_014214	Contig42774_RC	NM_006206	NM_006207	Contig38040_RC	Contig54913_RC	NM_014241	NM_006226	NM_014246	NM_006235	NM_014258	NM_006240	NM_005514	NM_005518	Contig47381_RC	NM_014274	Contig50769_RC	Contig47982_RC	NM_005532	NM_004807	NM_014286	NM_005544	NM_006274	Contig57076_RC	Contig48328_RC	NM_005558	NM_004833	NM_005564	NM_004835	Contig16759_RC	NM_005573	Contig20793_RC	NM_005586	Contig14458_RC	NM_004864	NM_004867	Contig3682_RC	NM_004878	Contig52947_RC	NM_004887	Contig48806_RC	Contig29369_RC	AL353944	J04162	Contig56583_RC	Contig37890_RC	AB029018	Contig55838_RC	Contig39100_RC	Contig54867_RC	Contig11648_RC	NM_007019	Contig51595_RC	NM_014321	NM_007036	NM_007038	Contig56307	NM_006334	NM_006338	NM_007069	NM_006344	NM_014365	NM_014373	NM_007088	Contig37743_RC	NM_006379	NM_014398	NM_014399	Contig28152_RC	NM_004920	NM_004923	AK000004	Contig33750_RC	NM_020974	NM_006398	Contig40889_RC	NM_005672	NM_004950	Contig49093	NM_020990	NM_020994	NM_005688	Contig30569_RC	NM_004963	Contig11275_RC	U66702	AF079529	AK000060	NM_004986	NM_004988	Contig33726_RC	NM_004994	Contig50719_RC	Contig43195_RC	X93006	AL080059	AL080079	Contig60315_RC	Contig44652_RC	AL080094	Contig38918_RC	Contig46937_RC	Contig1789_RC	AL110126	Contig57270_RC	AL110152	NM_007105	Contig1682_RC	AL110168	NM_014405	NM_007117	Contig40026_RC	AL110171	AL110181	NM_006408	AB002351	NM_006419	Contig51202_RC	NM_014443	X66945	NM_007168	AF097021	NM_007173	NM_005727	NM_014479	M29873	M29874	NM_006461	NM_005733	NM_007191	Contig41850_RC	Contig52891_RC	NM_006475	NM_005749	AK000106	NM_005764	AJ225092	AJ225093	NM_005794	Contig56160_RC	AK000168	Contig51896_RC	Contig55181_RC	AL080137	Contig40238_RC	Contig32594_RC	NC_001807	Contig67169_RC	AF101051	Contig30519_RC	AF222694	AL080199	Contig6118_RC	AL110202	Contig41453_RC	AB011146	Contig31133_RC	AL110252	Contig6612_RC	Contig51749_RC	AI497657_RC	NM_007231	Contig21406_RC	Contig28179_RC	Contig42759_RC	NM_007253	NM_006528	NM_006529	Contig18611_RC	NM_006533	NM_014553	NM_006536	Contig50913_RC	Contig31476_RC	Contig49058_RC	NM_006551	NM_007281	NM_005824	Contig31010_RC	NM_005832	NM_014585	Contig32798_RC	NM_005842	D86974	NM_005855	Contig57293	Contig753_RC	AF055033	J05125	Contig10601_RC	Contig30390_RC	AL080222	AF055084	AL080235	J05175	Contig32667_RC	M63438	Contig23211_RC	Contig24541_RC	NM_016002	Contig53296_RC	NM_015310	NM_007315	NM_007333	NM_006623	NM_014668	Contig44191_RC	Contig54729_RC	Contig47439_RC	NM_014681	NM_005940	NM_005941	NM_014696	NM_005950	NM_006681	Contig57389	NM_013982	Contig64688	NM_013989	NM_005971	Contig33126_RC	NM_005978	AF144054	NM_013999	NM_005980	NM_005982	Contig57644_RC	AK000345	AF224266	Contig28030_RC	AF053712	Contig36499_RC	Contig40158_RC	U67784	AL137274	NM_016109	Contig51685_RC	Contig42328_RC	Contig44530_RC	NM_016140	NM_015417	Y16132	Contig29822_RC	Contig31646_RC	NM_014723	NM_006705	NM_006727	Contig20355_RC	Contig48400_RC	Y14737	NM_006744	NM_014767	Contig14996_RC	NM_006751	AK001101	NM_014781	NM_006765	NM_006769	NM_014790	T50661_RC	NM_006787	Contig35875_RC	Contig57725_RC	Contig37702_RC	AF070536	Contig47405_RC	K02276	AK000451	Contig399_RC	Contig52737_RC	AL137334	AL137342	AL137343	Contig3464_RC	X52015	Contig38901_RC	Contig31142_RC	M54927	Contig44010_RC	Contig48971_RC	NM_016220	NM_015507	NM_015515	NM_016249	NM_016260	NM_016267	Contig23466_RC	Contig53944_RC	NM_006804	NM_006820	NM_006823	NM_006829	NM_006845	NM_006847	Contig43983_RC	NM_014875	Contig52957_RC	NM_006868	Contig38520_RC	Contig51994_RC	NM_014897	NM_014899	Contig34009_RC	AJ224741	Contig57595	Contig32192	Contig30016_RC	AF070632	Contig51369_RC	Contig39834_RC	Contig14954_RC	Contig10961_RC	Contig21619_RC	Contig16531_RC	AL137449	Contig30260_RC	AL049257	AL049265	Contig38589_RC	AL049279	Contig55725_RC	NM_016348	NM_016352	NM_016358	NM_016359	NM_014903	NM_016364	Contig47456_RC	Contig21847_RC	AB028974	Contig57903_RC	Z11887	AK002005	Contig57631	AK002016	Contig48913_RC	K02403	Contig57653_RC	Contig30480_RC	X01394	AK002088	Contig34449_RC	Contig46362_RC	AK000660	Contig54365_RC	Contig56801_RC	AL137517	AL137540	Contig19384_RC	Contig41983_RC	AL049337	Contig36520_RC	AB037734	AL137566	AL137567	Contig51220_RC	AB037745	Contig5804_RC	Contig440	AB037763	NM_015719	AB037791	NM_016459	AF179224	NM_016471	Contig44265_RC	AK002107	AF064200	AK002138	Contig53598_RC	AK001423	Contig47781_RC	Contig46435_RC	Contig49342_RC	Contig51775_RC	AL137619	Contig13879_RC	AL049423	Contig56390_RC	AB037821	AB037836	AL137669	Contig23108_RC	AB037848	Contig51660_RC	AF005487	AL137698	X51630	Contig16786_RC	NM_016569	NM_016577	AL359053	AL359062	Contig24682_RC	Contig15325_RC	Contig39242_RC	Contig2339_RC	Contig49855	Contig39226_RC	Contig30384_RC	Contig46508_RC	Contig45537_RC	Contig51255_RC	Contig42882_RC	Contig3313	Contig49790_RC	NM_018004	AL137725	NM_018014	Contig47106_RC	NM_018043	AL137761	Contig41887_RC	NM_016619	Contig42751_RC	Contig41413_RC	Contig53183_RC	NM_016640	X52486	AJ275978	Contig40434_RC	X03084	Contig30481_RC	Contig42011_RC	Contig4380_RC	Contig20137_RC	Contig58260_RC	Contig45511_RC	Contig50357_RC	AF020919	Contig46089_RC	NM_018104	Contig38580_RC	NM_018136	NM_000028	NM_000029	NM_017414	Contig15384_RC	NM_000037	NM_017422	NM_017423	Contig52543_RC	NM_000044	NM_018166	Contig14647_RC	NM_000050	NM_000067	NM_017459	AB020689	NM_000077	Contig64297_RC	NM_000089	Contig27882_RC	NM_000090	NM_000095	NM_000096	Contig49589_RC	Contig57142_RC	Contig46452_RC	U79293	U79299	Contig41587_RC	AF073299	AF047826	Contig60157_RC	AF103375	AF007150	AF007153	NM_018208	NM_018215	Contig35030_RC	NM_000104	Contig39616_RC	M30818	NM_000111	NM_000125	NM_000129	NM_000141	Contig47994_RC	NM_018265	NM_016817	NM_000165	NM_000168	NM_000169	Contig54667_RC	Contig29647_RC	Contig42139	NM_000187	Contig55997_RC	NM_017579	NM_000196	NM_009585	NM_009588	Contig1018_RC	Contig43368_RC	Contig41676_RC	Contig42532_RC	AF058075	Contig43253_RC	AF063936	Contig42274_RC	Contig32563_RC	AF103458	Z48633	Contig23581_RC	NM_019000	Contig33284_RC	NM_019013	Contig28888_RC	Contig375_RC	NM_018306	D90070	NM_019049	NM_019058	NM_000222	NM_000224	NM_000228	NM_000230	NM_000237	NM_000238	NM_000239	NM_000240	Contig51117_RC	NM_000266	NM_000269	Contig42227	NM_000295	NM_000299	NM_017680	AF234532	Contig65658_RC	Contig48800_RC	Contig54968_RC	Contig37501_RC	Contig24609_RC	Contig48518_RC	NM_018407	Contig53281_RC	NM_018410	NM_018422	AL049932	NM_000320	NM_000323	NM_000324	NM_000331	NM_001062	NM_001063	NM_001073	NM_001074	Contig1805_RC	NM_000346	NM_001076	NM_001078	AL049963	NM_017731	NM_000353	NM_001085	NM_000358	NM_001089	NM_018476	NM_000362	NM_000363	AL049987	Contig24252_RC	NM_000370	L27560	NM_000381	NM_000393	NM_000396	NM_000399	NM_017786	Contig56765_RC	AF113007	X02761	M90657	Contig16453_RC	AB023144	Contig54325_RC	NM_001102	NM_001109	Contig38654_RC	NM_001124	NM_001129	Contig32602_RC	NM_001144	NM_018530	NM_000421	NM_001150	NM_000422	NM_000424	Contig13300_RC	Contig43026_RC	NM_000439	NM_001168	NM_017821	Contig56503_RC	Contig51037_RC	NM_001185	NM_001189	NM_017852	Contig57825_RC	NM_000477	NM_017870	Contig32336_RC	NM_017878	NM_000493	AW518944_RC	NM_000495	Contig34395_RC	U96394	Contig55883_RC	Contig30995_RC	Contig41804_RC	Contig54295_RC	AB023211	U28831	M33318	Contig54414_RC	Contig41538_RC	Contig1239_RC	Contig42402_RC	NM_001203	AB014533	AB014534	NM_001216	NM_001218	NM_000507	NM_000509	NM_000518	Contig43708_RC	NM_001254	L10333	NM_001267	NM_018653	NM_001275	NM_001276	Contig2446_RC	Contig50529	NM_017954	NM_017957	Contig15190_RC	NM_000582	NM_000584	Contig13724_RC	NM_000592	NM_000597	NM_000599	Contig42582	Contig21493_RC	Contig54993_RC	Contig58512_RC	Contig4382_RC	AL050202	AL050227	AF111849	NM_002001	NM_002023	NM_001306	NM_002036	NM_002038	NM_002048	AB006625	NM_002051	NM_002053	NM_001327	NM_000600	NM_001333	NM_000607	NM_001336	NM_001338	NM_001353	NM_000624	NM_002089	Contig30213_RC	Contig33235_RC	NM_000633	NM_002091	NM_001362	NM_000636	Contig5549_RC	NM_000642	NM_000646	Contig51558_RC	NM_001387	NM_000662	NM_001393	NM_001394	NM_001395	NM_000667	NM_000668	Contig693_RC	NM_000685	NM_000693	NM_000695	Contig14284_RC	Contig43791_RC	V00522	Contig31771_RC	Contig40128_RC	Contig50950_RC	Contig34303_RC	NM_002104	NM_002121	NM_002122	NM_002124	NM_002125	NM_002127	NM_002135	Contig49079_RC	NM_002145	NM_002147	U10991	NM_002160	NM_001432	NM_002164	NM_001438	NM_001444	NM_001446	NM_001448	NM_001450	NM_001453	NM_000727	NM_000734	NM_000735	NM_002193	NM_002196	M24895	NM_019598	NM_000764	NM_000766	NM_000767	Contig57584_RC	NM_000779	NM_000783	NM_000799	Contig34989_RC	Contig41813_RC	Contig7558_RC	Contig42518_RC	AL157488	Contig17248_RC	AL157492	Contig51151_RC	Contig58301_RC	NM_002201	Contig63748_RC	NM_002216	NM_001504	NM_001505	NM_001511	NM_002245	NM_018901	NM_002250	NM_001523	NM_018910	NM_000802	NM_002266	NM_001540	NM_002274	NM_001546	NM_002275	NM_002276	NM_001548	Contig51486_RC	NM_000824	NM_001554	NM_000826	NM_001555	NM_018942	NM_001565	NM_002299	NM_018950	NM_018952	Contig55606_RC	D25217	NM_000846	NM_000849	Contig29022_RC	Contig36312_RC	Contig38980_RC	NM_000853	NM_000854	NM_000860	Contig29014_RC	Contig46616_RC	NM_000888	NM_000898	AF067420
0	43	14.817248	14.817248	0	1	1	25	0	2	3	1	-0.413955	-0.954246	0.051024	-0.111203	-0.050066	-0.340897	-0.038770	-0.104256	-0.485671	-0.565482	0.159871	0.198546	0.131750	0.600214	0.034498	0.492915	0.032284	0.020498	0.162939	-0.026182	0.090109	-0.110716	0.025322	0.690928	0.764825	0.579042	0.039256	-0.112008	-0.014334	0.012805	0.746400	-0.020099	-0.070284	-0.410170	0.139930	0.313297	0.645509	-0.122269	-0.082007	0.351892	0.208250	0.064086	-0.436356	-0.061120	-0.218654	-0.063444	-0.458989	-0.042714	0.107555	-0.046282	-0.607396	-0.298014	-0.020523	-0.380730	-0.731905	-0.208567	-0.009658	0.264321	-0.468796	-0.043941	-0.469030	0.215989	-0.386191	-0.412871	0.059138	-0.188744	-0.338177	0.293378	-0.206389	-0.662552	-0.393674	-0.379861	-0.052162	-0.602635	-0.009926	0.084592	0.034111	-0.168077	0.386483	0.564885	0.567547	-0.082433	-0.326897	0.040499	-0.459177	0.000084	-0.009372	-0.429403	-0.009102	-0.249661	-0.028993	-0.361512	-0.407895	-1.222812	-0.015455	-0.423545	0.112265	-0.047353	0.082021	-0.602528	-0.190188	-0.145215	0.004135	-0.176333	-0.110213	-0.033205	0.155177	0.323255	-0.073127	-0.023413	-0.311654	0.009236	-0.044002	0.132608	-0.334047	-0.808405	-0.323191	-0.577493	0.360844	0.111842	-0.697586	0.735811	0.051385	-0.033327	-0.459596	-0.286968	-0.360244	-0.249860	-0.415610	-0.509504	0.007801	0.318176	-0.447874	0.175315	0.139464	0.032280	0.017776	-0.159254	0.089921	-0.295980	-0.026401	-0.726821	-0.046697	-0.550422	-0.022145	-0.193019	-0.519450	-0.402447	0.064943	0.039777	-0.156050	-0.046716	0.228131	-0.363149	0.055404	-0.411615	-0.008090	-0.049442	-0.482440	0.001560	0.174193	0.107997	-0.047147	0.020358	0.230408	-0.044822	-0.021826	0.039778	-0.023779	-0.099338	0.027804	-0.334311	-0.290268	0.288159	-0.268857	0.038376	0.078023	-0.206487	0.203593	0.022346	-0.158805	-0.000548	-0.026872	-0.063913	-1.255312	-0.776470	-0.433047	-0.427792	0.690093	0.346274	-0.221116	-0.295485	0.065812	-0.350631	0.034709	0.029649	-0.165704	-0.339591	-0.488278	-0.598806	-0.298633	-0.002054	0.015005	-1.038180	-0.127618	-0.808247	-0.125292	-0.018260	-0.241934	0.216943	-0.288201	0.313421	-0.063127	0.103776	0.248185	-0.002581	0.001084	-0.158336	-0.058907	-0.582055	0.063776	-0.198162	-0.082942	-0.051664	-0.153165	-0.020687	0.139511	-1.145294	0.035330	-0.302336	0.044315	-0.033731	-0.005392	0.040582	-0.327379	-0.268824	-0.376223	-0.297097	-0.040401	0.000271	0.446467	0.054536	-0.362549	-0.031451	0.078009	-0.093922	0.050757	0.063858	-0.041906	0.084627	-0.013284	0.042910	-0.175794	-0.099577	0.099069	-0.450512	-0.247531	0.307664	-0.027422	0.090137	0.090124	0.124330	0.168662	-0.712060	0.116849	-0.070864	-0.211524	-0.780629	-0.018973	0.047492	-0.099444	-0.115594	-0.018486	0.080852	-0.029850	-0.437499	-0.012642	-0.404583	0.047153	-0.259754	-0.387366	-0.059239	0.349518	0.005440	0.152618	-0.234495	-0.251840	-0.201667	0.018184	-0.034924	-0.042962	-0.241598	-0.135843	0.014948	0.103380	0.125368	-0.237190	-0.202157	-0.324501	0.340975	-0.022907	-0.025128	-0.173104	-0.028960	0.034702	0.666339	-0.034403	-0.017543	0.035296	0.036478	0.062420	-0.072516	-0.230958	0.025360	0.050819	0.019123	-0.103237	0.028916	0.850946	-0.018488	-0.349869	0.378272	0.032493	0.007335	0.022278	0.023465	-0.115366	0.105575	0.508975	-0.485709	0.293928	-0.056350	0.015563	0.089238	-0.145029	-0.033357	0.244765	-0.141785	0.455231	-0.026022	0.288433	0.000762	-0.009070	0.060063	-0.018272	-0.159265	-0.165408	0.036770	-0.393202	0.188466	-0.390145	-0.078948	-0.230609	0.087862	0.000913	-0.072628	-0.027639	-0.030199	-0.182992	0.031198	0.061926	-0.265381	-0.035741	-0.031254	0.029012	-0.003052	0.026914	-0.043320	-0.026653	0.099213	-0.024610	-0.051887	0.274215	-0.009585	0.007964	-0.004039	0.067666	-0.302559	0.142586	-0.420908	-0.031337	-0.037826	-0.493759	0.053945	0.247277	-0.144270	-0.645865	-0.291961	-0.208671	0.157529	-0.258301	0.049330	-0.071196	-0.031812	0.072738	-0.151311	-0.376297	0.047425	-0.631842	-0.341398	0.026805	1.029491	-0.572065	-0.823665	0.348644	-0.019809	-0.004109	-0.255947	0.107973	-0.001952	-0.406550	-0.013596	0.005508	-0.244396	0.000586	-0.141949	0.086238	-0.124468	-0.047825	-0.080949	-0.326594	0.045278	0.064318	0.078664	-0.229389	-0.005555	0.024477	-0.099741	-0.003050	-0.289502	-0.592376	-0.047231	0.272070	0.063480	0.396041	0.194299	-0.227419	-0.122415	0.134577	0.104145	-0.261220	0.255612	-0.090416	-0.024945	0.090673	0.147574	0.346098	-0.035984	-0.216902	-0.122421	-0.172396	0.065702	-0.123643	0.016981	0.474905	-0.503899	0.088386	-0.077658	-0.125006	0.000525	0.077414	0.012211	-0.322484	0.003903	-0.109496	0.069052	-0.315251	-0.066742	0.006203	-0.426635	-0.176968	-0.192923	0.500912	-0.000697	0.208796	-0.117026	-0.282315	-0.403095	-0.003093	0.202055	-0.075199	-0.241082	-0.250433	0.174994	-0.305636	0.252559	0.102568	-0.027595	-0.082577	-0.127959	0.088424	-0.228622	0.148421	-0.010307	0.038442	-0.178294	0.263184	0.150763	-0.043846	0.107667	0.109201	0.083272	-0.496534	-0.019407	-0.616885	-1.053576	-0.915034	0.021224	-0.215953	-0.256052	-0.224341	-0.304609	-0.285498	-0.316889	-0.085097	-0.137409	-0.810887	-0.018999	-0.022114	-0.207246	0.278200	0.400262	0.061543	-0.016341	-0.195359	0.063818	0.072518	0.029874	0.156765	-0.039239	-0.235931	-0.121981	-0.231424	-0.011796	-0.133221	-0.686009	-0.243122	0.585089	-0.429946	0.080174	-0.078348	-0.525515	-0.362415	-0.357739	0.038928	-0.098361	-0.287254	0.986683	-0.342991	-0.399946	0.065438	0.102574	0.336812	-0.049632	0.000982	-0.090121	-0.401016	0.940329	0.114049	-0.000739	0.724788	-0.240739	-0.173595	0.004418	-0.220937	-0.159646	0.144037	-0.093865	0.457166	-0.389063	0.019155	-0.375018	-0.165263	-0.239462	0.194095	-0.345675	0.076786	-0.293585	-0.102607	-0.110351	0.034771	-0.447072	-0.060994	-0.046053	-0.243348	-0.031618	0.187668	0.073328	-0.007447	-0.004134	-0.033715	0.014912	-0.092893	-0.078546	-0.570467	-0.137248	0.222989	-0.136725	0.122359	0.012070	-0.364229	0.291202	-0.485465	-0.180461	0.508701	0.338996	0.230191	0.323891	0.463534	0.013906	-0.154915	-0.202486	-0.056503	-0.120121	-0.002159	-0.456241	-0.228017	-0.363743	-0.090892	0.064828	0.092622	0.320865	-0.302970	-0.035402	-0.441947	0.454057	-0.293202	-0.106359	0.033490	-0.152384	0.633331	-0.053066	-0.143191	-0.020424	-0.334249	0.055465	-0.089875	-0.359964	-0.215243	0.157190	-0.433985	-0.309948	0.010978	-0.224942	0.357958	-0.582258	-0.415599	0.119365	0.044797	-0.006078	-0.064726	0.267502	0.097199	-0.374955	-0.385663	-0.056135	-0.175061	-0.414008	-0.263490	-0.028626	-0.157850	-0.156005	-0.343186	-0.228696	0.008815	-0.110559	0.014129	-0.015148	-0.060394	-0.466302	-0.516789	0.094672	-0.067449	-0.684423	0.019766	-0.098865	-0.028949	-0.307980	0.353250	-0.683416	-0.151175	-0.219048	0.095451	0.069298	-0.081564	-0.164518	-0.488889	-0.047569	0.000384	-0.373145	0.079118	-0.741131	-0.502387	-0.314646	-0.397837	-0.311240	0.560099	-0.119073	-0.409840	-0.089085	0.014876	0.215229	0.043629	-0.163990	-0.018848	-0.005678	-0.388945	-0.000580	-0.573688	0.138612	0.280107	-0.527695	-0.100785	0.337521	0.066960	-0.761916	0.343763	-0.014596	0.014792	0.221218	0.151054	-0.137239	0.721447	0.146616	-0.380067	-0.355565	-0.011620	0.136789	0.213545	-0.700295	-0.323366	-0.176993	0.208135	-0.074068	-0.578048	-0.328526	0.049274	0.021320	-0.025902	-0.344651	-0.050634	-0.878194	0.037790	-0.380567	-0.019843	0.312401	-0.318086	-0.095680	-0.027661	-0.292490	0.157155	0.208360	-0.379841	0.176678	-0.355846	-0.373579	-0.352349	0.059146	0.160620	-0.097351	-0.030787	-0.567258	-0.397905	-0.301581	-0.126906	-0.265000	-0.206977	-0.066732	-0.166058	0.084654	-0.033863	0.040101	-0.359704	-0.333691	0.104564	-0.414496	-0.157345	-0.066832	-0.236908	-0.824832	0.071933	-0.291074	0.135462	0.278629	-0.632308	-0.012910	-0.008175	-0.161639	0.055600	0.066845	0.338655	-0.461813	-0.190799	-0.093277	-0.482702	0.173869	-0.292760	-0.391291	-0.352913	-0.021987	-0.445267	-0.183801	0.455724	-0.565177	-0.524264	0.080559	-0.135861	-0.253390	-0.052078	-0.139489	-0.575676	0.159491	-0.001914	-0.040541	-0.435463	-0.169210	0.220514	-0.318832	0.015216	-0.364059	-0.131788	0.066653	0.112102	-0.290182	-0.111110	-0.106523	0.246019	-0.366895	0.017908	-0.482140	0.027780	-0.215788	-0.313452	-0.221131	-0.000399	-0.262314	0.275984	-0.110880	-0.109396	-0.162287	-0.235095	-0.313487	-0.376668	-0.267567	-0.072882	-0.233717	0.120635	-0.157759	-0.036627	-0.002241	-0.437429	0.209200	-0.126234	0.191099	0.227589	1.029305	0.083915	-0.684152	-0.215599	-0.263839	-0.261511	-0.536451	-0.368702	0.570594	-0.234838	-0.479876	-0.045233	-1.194708	-0.257857	0.184395	0.012980	-0.431054	-0.478005	0.431553	-0.037875	-0.204398	-0.983124	-0.221270	-0.017923	0.026742	-0.426805	-0.125781	-0.731080	0.060664	-0.184475	-0.050162	-0.027133	-0.701862	-0.347182	0.123311	-0.434435	-0.735025	-0.676558	-0.346161	-0.406511	-0.166475	-0.225857	0.589463	0.062624	-0.186297	-0.139793	-0.414084	-0.474352	-0.214797	-0.616033	0.397068	0.041172	-0.088081	0.354269	0.062874	0.479596	0.157913	0.772235	-0.314471	-0.135603	-0.364552	-0.097919	-0.255481	-0.080456	-0.300020	0.032909	-0.002344	0.021457	-0.168944	-0.192943	0.071390	-0.510840	-0.105767	-0.030241	-0.025703	-0.053900	-0.053418	-0.282701	-0.032574	0.098742	-0.515053	-0.195431	-0.297946	-0.081592	-0.014585	-0.328224	0.378131	-0.407776	0.079008	0.633307	0.045320	0.150536	-0.249715	0.038391	0.167274	-0.471466	-0.098110	-0.054787	-0.256950	-0.011337	-0.044831	0.163133	0.269570	0.244943	-0.276093	-0.016495	-0.029113	-0.264235	0.011997	-0.525509	-0.175478	-0.228954	0.124998	-0.358145	0.017179	-0.407556	-0.289653	-0.191993	0.080879	-0.153216	0.046323	-0.062913	0.031653	-0.274738	-0.450805	-0.204630	-0.038980	-0.187039	-0.338294	0.026206	-0.280964	-0.100613	-0.708050	0.001435	-0.005929	-0.851919	0.533923	0.539112	-0.670760	-0.218083	-0.184661	-0.338338	-0.352075	-0.257283	-0.172196	0.179560	-0.070844	-0.219273	-0.136274	-0.079180	-0.293939	0.145830	-0.079093	-0.116416	0.229202	-0.334883	1.034438	-0.084124	0.062619	-0.000159	-0.868196	0.020372	-0.209340	-0.092056	-0.067297	0.399830	0.118856	0.096947	-0.055315	-0.003603	0.034884	-0.170949	0.172618	-0.121197	0.075295	0.009753	0.457573	-0.051543	0.541366	0.252780	0.040436	-0.116955	-0.093377	0.241544	0.894444	-0.171993	-0.549880	-0.106865	-0.300265	-0.345751	0.089603	-0.098789	-0.010436	-0.735016	-0.232037	0.010197	-0.506938	0.111344	0.005607	0.397777	-0.712457	-0.128258	0.094037	-0.414341	-0.151415	0.322722	-0.420024	0.276973	-0.200812	1.104388	0.093635	-0.176200	0.208906	0.025874	-0.003339	0.147028	0.047414	-0.449703	-0.052471	-0.221507	-0.293736	-0.015674	-0.089781	-0.112932	-0.003450	0.741507	0.022977	-0.284088	0.032787	0.003422	-0.454931	-0.698241	-0.162360	-0.384384	-0.212853	-0.406002	-0.154009	-0.294200	-0.160998	-0.180928	-0.419566	0.203176	-0.300922	0.028845	-0.441735	-0.190916	-0.381814	0.864119	-0.206002	-0.991899	-0.302602	-0.081328	-0.051098	-0.004608	-0.194263	-0.158910	-0.295384	0.460501	-0.151802	-0.311069	-0.187485	-0.293473	-0.215354	-0.075122	-0.232002	-0.046873	-0.012819	0.193161	-0.017230	0.169806	-0.141965	0.124811	-0.051428	0.008402	-0.763349	-0.104283	-0.458014	0.811070	-0.220560	0.216583	-0.457106	0.037513	0.254211	0.280997	0.468094	0.317553	-0.061115	0.006014	0.388896	-0.170653	-0.528276	-0.276726	0.040652	-0.033371	-0.779534	-0.264868	0.012580	0.049219	-0.563053	-0.073081	0.481447	-0.199718	-0.220855	-0.361248	0.075376	0.019358	0.177436	0.033933	-0.059950	-0.495007	-0.786728	0.133333	0.867613	0.174292	-0.015711	-0.323419	-0.025954	-0.349031	0.048489	-0.252080	-0.536228	-0.127290	0.351132	0.226971	-0.112736	-1.084460	-0.632592	-0.062553	0.575274	-0.583348	0.072710	-0.124196	-0.200582	-0.033015	0.127332	0.161970	0.061980	-0.350895	0.604223	-0.245719	-0.297328	0.514291	0.102527	0.101348	-0.385599	0.462512	-0.049026	-0.327382	0.329368	-0.280414	-0.394490	-0.028774	0.170518	0.475890	0.309506	-0.065953	-0.346143	0.911410	0.142486	0.322008	-0.585001	-0.073839	0.173125	-0.306226	0.097512	-0.139787	-0.417508	-0.366831	-0.177200	-0.106081	-0.403313	-0.315322	-0.086637	-0.255774	-0.110783	0.107788	-0.318976	-0.000063	0.493455	-0.404694	0.060844	-0.254744	-0.310985	0.153791	-0.403430	0.432617	-0.413955	-0.136315	-0.172482	-0.189791	-0.173608	-0.525853	-0.267285	0.074903	-0.207746	-0.158685	0.193304	-0.224826	0.727333	-0.405159	-0.275073	-0.207874	-0.458825	-0.287396	-0.378035	0.500446	-0.258819	0.269908	-0.316359	0.196583	0.035924	0.502450	0.451348	-0.388297	-0.056254	-0.293637	-0.102621	-0.027195	-0.542371	-0.453489	0.015413	-0.289257	-0.251494	-0.192224	-0.225232	0.010610	0.050936	-0.305073	-0.147573	-0.178554	-0.281964	-0.325955	-0.269678	-0.490582	-0.250304	-0.355266	0.161447	-0.571985	-0.149774	0.127646	0.025476	-0.120067	-0.061446	-0.125465	-0.205151	-0.013766	0.003618	-0.320453	-0.000969	-0.532443	0.204407	-0.171421	0.179370	0.031894	0.027669	-0.012206	-0.283950	-0.022390	-1.093536	-0.521462	-0.004539	0.146753	-0.094156	-0.606398	-0.456657	-0.225634	-0.412652	-0.218738	-0.310150	0.036868	-1.103862	-0.339426	-0.183171	-0.107933	-0.307549	0.013881	-0.317378	-0.355289	0.047610	-0.172340	-0.018605	0.368593	0.131647	-0.220365	-0.071047	-0.413763	0.329271	-0.177341	0.435084	-0.029676	-0.455784	-0.172912	-0.676051	-0.031290	0.057281	-0.546480	-0.192392	0.010743	-0.393641	-0.355763	-0.345857	-0.144887	-0.593635	-1.090065	-0.617900	-0.025652	-0.356793	-0.479981	0.111616	-0.203325	-0.562835	-0.125649	-0.620817	-0.138756	-0.311236	0.522414	-0.112419	-0.117132	-0.176052	-0.104886	-0.318056	-0.197026	0.050895	-0.126415	0.123902	0.090776	-0.168789	-1.103415	-0.029000	-0.430045	0.237340	0.414515	-0.219844	0.032508	0.238889	-0.740477	-0.067239	0.281551	-0.076928	-0.443673	0.138639	-0.483145	-0.176512	-0.651658	-0.130801	-0.884191	-0.226015	0.429501	0.207523	0.236416	-0.163737	-0.388226	-0.847204	-0.560050	-0.017033	0.762486	0.066021	-0.326937	-0.041459	0.184675	0.159413	0.135025	-0.084862	0.087917	0.375394	0.159738	0.250397	-0.129571	0.033195	0.255948	-0.418515	-0.003972	-0.219987	0.034375	-0.499730	0.066544	-0.259374	-0.430991	-0.909651	0.154259	-0.064485	-0.176301	-0.041383	-0.326637	-0.126749	-0.035396	0.454227	-0.181792	-0.407462	-0.304024	0.129400	0.520288	0.520470	-0.078162	-0.090135	0.077232	-0.106887	0.631550	-0.782378	0.044710	0.025759	0.272959	-0.601840	-0.211200	-0.433870	0.138867	0.286057	0.007087	0.482471	-0.330577	-0.526777	0.503809	-0.123879	0.111167	-0.095413	-0.141392	-0.028161	-0.703285	0.281897	-0.182338	0.384441	0.540899	-0.304475	-0.104981	-0.541951	-0.591898	-0.107908	-0.337010	-1.002834	0.396417	0.035160	-0.364242	-0.156396	-0.212224	-0.612226	-0.137140	-0.017236	0.185274	0.387456	-1.234464	-0.618305	-0.760009	-0.401705	-0.058961	-0.099680	-0.059907	-0.173686	-0.005235	0.346016	-0.139232	-0.293573	0.004920	0.149639	-0.131834	0.491023	-0.326954	0.242577	-0.440495	-0.079654	-0.129174	-0.440579	0.091784	-0.385110	-0.289255	-0.485699	-0.405309	-0.109878	-0.472279	-0.331498	-0.358591	-0.070151	-0.145741	-0.247676	-0.551571	-0.201436	-0.323253	-0.031295	-0.596451	-0.891091	-0.099162	-0.721029	-0.071294	-0.399346	0.393402	-0.301836	-0.271553	-0.383663	0.278246	-0.216583	0.591103	-0.355018	0.373644	-0.760690	-0.164025	-0.038726	0.237856	-0.087631	-0.369153	0.153795
1	48	14.261465	14.261465	0	0	1	20	0	3	3	1	0.195251	0.244626	-0.199602	-0.111397	-0.135207	0.026813	-0.165675	0.081549	-0.736914	0.118127	-0.183824	0.265609	-0.080799	-0.034788	0.146600	0.096864	0.043611	0.049600	0.150307	-0.150096	-0.082436	-0.117535	-0.245531	-0.070265	0.046395	0.055705	0.088564	-0.090754	-0.200864	-0.071210	-0.418519	-0.105610	-0.072491	0.086513	-0.014931	-0.060254	0.005230	-0.151410	-0.282336	0.023717	0.139540	-0.109258	-0.242563	-0.046313	-0.077276	-0.101312	-0.463026	-0.080892	-0.151257	-0.095722	-0.277591	-0.534005	-0.006091	-0.426614	-0.610194	0.214168	-0.102804	0.231918	-0.378103	-0.496814	-0.673271	-0.181023	0.461000	1.033179	-0.064528	0.105519	-0.379051	-0.202288	0.044582	0.212550	0.258632	0.248212	-0.288658	-0.330377	-0.205875	-0.374288	-0.670042	-0.258033	-0.208707	-0.068018	-0.028902	-0.165576	-0.379202	-0.129369	-0.005966	-0.245255	0.002931	0.016828	-0.302577	-0.209844	0.035349	-0.355645	-0.281978	-1.275695	-0.177539	-0.651556	0.006612	-0.051120	-0.064985	-0.655932	-0.040762	-0.068455	-0.000506	0.156947	-0.163035	-0.247097	-0.038578	-0.236771	0.126567	-0.186868	-0.319609	-0.117635	-0.086183	0.271211	-0.428458	-0.152242	0.171002	0.127266	0.169131	-0.392690	-0.048966	0.050717	-0.368978	-0.198285	-0.458846	0.037076	-0.178611	-0.295480	-0.433616	-0.262439	-0.559306	0.200099	-0.040141	-0.076796	-0.270729	-0.049590	-0.015318	-0.288495	0.431318	-0.271795	-0.059392	-0.283486	0.050114	-0.153130	-0.071140	0.346402	-0.506473	-0.082923	-0.103313	-0.102083	-0.257112	0.084883	-0.355767	0.127046	-0.045432	-0.325408	-0.027057	-0.123065	-0.596665	0.059397	0.233570	-0.140932	0.258338	-0.004314	-0.161375	-0.026157	0.153867	0.119799	-0.041097	-0.067168	-0.051156	0.215713	-0.050266	-0.075648	0.692529	-0.135564	-0.062270	-0.326907	0.172134	-0.066135	0.115422	-0.004202	-0.019705	-0.008985	0.308032	0.019410	-0.040879	-0.147741	-0.220535	0.107346	-0.506006	0.112264	0.304041	-0.015349	-0.012759	-0.093542	0.212374	-0.434923	-0.377377	-0.338216	-0.063013	-0.016449	-0.302985	-1.118624	-0.120830	-0.481572	-0.866391	-0.047251	-0.368093	-0.266613	-0.290740	-0.044173	0.258464	-0.044976	0.413595	-0.166618	-0.093394	-0.378883	0.013608	-0.114860	0.289632	-0.146276	-0.067019	-0.010995	-0.031764	0.002462	-0.070800	0.020675	-0.051642	-0.156286	-0.023550	-0.372327	0.009329	-0.022950	-0.353043	-0.150421	0.417369	-0.410759	0.040957	-0.055418	-0.563439	-0.119290	-0.251751	-0.026279	0.013656	-0.029714	-0.168135	-0.068892	0.093002	-0.224101	0.150835	0.121341	0.335894	-0.280728	0.036182	0.008746	0.137933	-0.323627	-0.254742	0.091158	0.017558	-0.019876	0.045050	-0.345882	-0.245089	-0.122084	-0.749323	-0.377400	-0.124371	-0.049641	-0.448784	0.158369	-0.311989	-0.025182	0.016471	-0.518409	0.200071	-0.492394	-0.279751	-0.209149	0.214089	0.112237	-0.529004	-0.014716	-0.059809	-0.087866	0.173154	-0.009798	0.358948	-0.134703	-0.116290	-0.199188	-0.180747	-0.028166	0.043238	-0.616193	-0.457386	0.268551	-0.296864	-0.034732	0.304608	-0.061030	-0.234726	-0.932250	-0.050817	-0.219568	-0.183764	-0.088878	-0.015373	-0.034945	0.042798	-0.210989	0.217938	0.260708	-0.058119	-0.040259	-0.175092	-0.070797	-0.545291	-0.050216	-0.099077	-0.237421	0.069352	-0.029861	0.209200	-0.064032	-0.321881	0.000117	-0.469909	-0.018889	0.395662	-0.121282	-0.032610	0.192900	-0.271218	-0.050882	-0.496295	-0.028338	-0.122688	-0.113911	-0.001227	-0.080074	0.204818	0.001588	0.125165	0.119036	0.098038	-0.098715	-0.473370	0.175359	-0.352894	-0.213485	-0.296937	-0.007040	-0.125681	-0.076493	-0.044340	-0.076497	-0.089708	0.037841	-0.042869	0.046743	-0.291948	-0.140987	-0.041791	0.012535	-0.064108	-0.002698	-0.000941	-0.059277	-0.035369	0.330549	-0.040151	0.005419	-0.013905	-0.092355	-0.084158	-0.365120	-0.174258	-0.078401	-0.045146	-0.123196	-0.431995	-0.044162	0.011483	-0.036223	0.214762	-0.395254	-0.224943	-0.070486	0.182957	0.119769	-0.223634	-0.075102	-0.136314	-0.142296	-0.100248	-0.191476	-0.743696	-0.307193	-0.032447	-0.231497	0.740514	-0.933325	-0.066055	-0.035871	-0.041591	-0.404997	-0.180153	-0.198537	-0.085852	-0.041729	-0.020081	-0.282240	-0.117002	-0.433348	-0.154067	0.056270	-0.039590	0.021657	0.307270	-0.044185	-0.070759	-0.019263	0.317411	0.009571	-0.035207	0.064532	-0.027247	0.143587	-0.446116	-0.058921	-0.133068	-0.041632	-0.143896	0.003295	-0.259124	0.340818	-0.099000	0.488581	-0.317095	-0.136401	-0.281974	-0.117165	-0.265809	-0.158813	-0.140428	0.123298	0.006719	-0.148435	0.180022	-0.120747	-0.140404	-0.033216	0.039593	-0.477062	0.087209	-0.183042	-0.134287	-1.016511	-0.034725	0.013923	-0.292806	-0.009573	-0.315935	-0.009344	-0.551407	-0.189618	-0.218641	-0.331404	0.046318	-0.062258	0.144686	-0.060670	-0.100481	-0.072269	-0.223061	-0.061590	0.095984	0.073049	-0.107596	0.034057	-0.366874	-0.050167	0.079199	0.205520	0.221966	-0.032027	-0.385438	-0.442768	-0.489101	-0.408277	0.023008	-0.032140	0.012371	-0.353773	-0.029732	0.416244	0.114846	-0.119118	0.013529	-0.015262	-0.491201	-0.014628	-0.600484	-0.770822	-0.739506	-0.046805	0.355349	-0.558951	0.107690	0.368627	-0.207640	-0.167509	-0.136886	-0.097868	-0.742585	-0.457959	-0.349740	0.050714	0.049042	-0.090300	0.062406	0.025845	-0.102616	-0.039815	-0.088686	-0.045686	0.005991	-0.049546	-0.225021	0.003481	-0.273400	0.047852	-0.162580	-0.386151	-0.383446	0.045201	0.165270	-0.003268	0.101755	-0.426390	-0.244144	0.271150	0.000907	-0.141143	-0.257975	-0.272990	-0.318030	-0.515630	-0.036811	-0.045556	-0.227498	-0.204978	0.040047	0.016107	-0.467813	-0.057908	-0.054530	0.039356	-0.634623	-0.447825	-0.250166	-0.074177	0.195538	-0.183393	0.219898	0.150584	0.055868	0.062309	-0.356429	-0.182660	-0.281640	-0.211028	0.117963	-0.368603	-0.146060	0.228821	0.176857	-0.009359	-0.018449	0.025422	-0.119547	-0.044207	-0.131451	0.041557	-0.057574	0.036539	0.000089	-0.037631	-0.006173	-0.082659	-0.349642	-0.360033	-0.402243	-0.583417	-0.131280	-0.402846	-0.459774	0.033386	-0.189897	-0.013772	-0.497233	-0.058232	0.124015	-0.114011	-0.069742	-0.262600	-0.201966	-0.184601	-0.287979	-0.204130	-0.867002	-0.045819	-0.001938	-0.444120	-0.359323	0.439214	-0.093850	0.061990	-0.366516	0.030592	0.725936	-0.264841	-0.382148	-0.108766	-0.138549	-0.028654	0.028135	0.084436	-0.426133	-0.023313	-0.080531	-0.032530	-0.256557	0.026905	-0.138611	0.533983	-0.119882	0.190091	0.010259	-0.358242	-0.026387	0.463050	-0.063987	-0.092044	-0.664188	0.012621	-0.008311	-0.078642	0.103927	0.508796	-0.076788	-0.473459	-0.359362	0.129821	-0.084268	-0.406727	-0.238323	-0.103835	-0.262458	0.043383	-0.291641	0.154768	0.027455	-0.408154	-0.010613	-0.060337	0.000218	-0.525394	-0.798898	-0.166962	0.016947	-0.494144	0.385548	-0.122897	-0.288428	-0.475034	-0.333016	0.366837	-0.215371	-0.332009	-0.007044	-0.326974	-0.234891	-0.123275	-0.356028	0.003688	-0.092504	-0.125496	0.138353	-0.373395	-0.241396	-0.170399	-0.125017	-0.121055	-0.348569	-0.317503	-0.361650	-0.244198	0.088352	0.292459	0.032726	0.187537	0.265606	0.085723	-0.337324	-0.137099	-0.417894	0.107527	0.129247	-0.172622	-0.077799	-0.386370	0.136764	-0.817708	0.342575	-0.194875	-0.182700	-0.524115	-0.095104	0.330780	0.135007	-0.460943	-0.676502	-0.056972	0.012485	0.015544	-0.285627	-0.689638	-0.257602	-0.067663	-0.133431	1.230927	-0.387646	-0.158840	0.284299	0.087060	-0.110648	-0.258277	-0.057940	-0.332797	0.028659	-0.095122	-0.030537	0.246820	0.001963	-0.010048	-0.024760	-0.322877	0.212239	-0.131818	-0.299909	-0.090167	-0.141847	0.224597	-0.169595	-0.122024	0.067652	-0.050125	-0.026506	0.253449	0.288370	-0.460935	-0.039801	-0.377492	-0.174814	-0.099562	0.139039	-0.024544	-0.142490	0.313794	-0.317240	-0.046578	0.118871	-0.390013	0.295611	0.111377	-0.094274	-0.471456	-0.172400	-0.461823	0.093309	-0.162709	-0.161665	-0.036605	0.018209	0.297119	-0.318349	-0.211758	-0.618382	-0.330750	-0.005573	0.000005	-0.159792	-0.173013	0.019502	-0.511670	-0.358663	-0.031346	0.183673	-0.244583	-0.245065	-0.284932	-0.392354	-0.183043	-0.430600	0.384596	0.308693	0.558393	0.142833	-0.013856	0.203890	-0.161728	-0.211770	-0.227755	-0.181875	-0.168719	-0.338232	-0.336804	-0.096632	0.167084	0.001264	-0.038341	0.116959	-0.090194	-0.379836	-0.290579	0.162216	-0.124783	0.104756	-0.012545	-0.304696	0.460633	-0.329323	-0.163391	-0.103351	0.000644	0.107886	0.175554	-0.862577	-0.136767	0.024560	-0.069107	-0.095564	-0.178108	-0.326819	0.368391	0.032556	0.013122	0.034168	-0.088917	0.211222	0.196836	0.041615	-0.454575	0.050420	-0.529291	-0.161708	-0.278976	-0.268565	-0.496218	-0.258256	-0.436539	0.163463	-0.525711	-0.260139	-0.068684	-0.066824	-0.172706	0.088674	-0.060663	-0.327804	-0.131562	-0.657239	-0.240913	-0.979580	-0.049558	-0.256153	-0.052544	0.674742	-0.311973	-0.648124	0.048550	-0.255155	-0.120945	0.045279	-0.551517	0.195950	-0.112223	-0.522309	0.256084	0.230436	-0.276842	-0.310184	-0.529138	-0.243465	-0.369604	0.298696	-0.039536	-0.104450	0.035088	-0.333454	-0.386372	-1.040249	0.007228	-0.411173	-0.307408	-0.090244	0.023131	-0.400788	0.217525	-0.277980	0.250848	0.084551	0.166211	0.203737	-0.168306	0.006096	-0.209825	-0.022730	-0.122831	0.028163	-0.199323	0.114076	-0.028541	-0.398740	-0.232401	0.307968	-0.159833	-0.026060	-0.030549	-0.253626	-0.051542	0.019146	-0.636183	-0.533067	-0.303955	-0.290441	0.143811	-0.332537	-0.224742	-0.297643	0.150721	-0.366890	-0.045140	0.063494	0.122242	-0.071731	0.245610	-0.370231	-0.130004	0.135545	-0.230156	0.035759	-0.011658	-0.008977	0.028269	0.184152	-0.020370	-0.023294	-0.006339	-0.331752	0.044195	0.230251	0.226493	-0.183431	0.278558	-0.024603	0.003980	-0.366372	-0.066123	-0.063873	-0.201400	-0.495226	0.056750	0.238653	0.044909	-0.045256	-0.423608	-0.149868	-0.114503	-0.198924	-0.337011	0.180155	-0.069894	-0.049628	-0.202562	0.036280	-0.428480	0.479806	-0.422913	-0.178013	-1.007370	0.045474	-0.127216	-0.542761	-0.200023	0.059682	0.083822	-0.165760	0.036992	-0.064038	-0.183521	0.266014	-0.091553	-0.015720	-0.001047	-0.344177	-0.104620	-0.087220	0.001422	-0.018852	0.004481	-0.025012	-0.774780	0.228953	-0.139628	-0.020091	0.957889	0.107633	0.183994	-0.298019	-0.373919	0.002038	0.051634	-0.075438	-0.056498	-0.106794	-0.025189	0.085764	0.159485	-0.211672	-0.441969	-0.139034	0.080530	-0.274960	-0.178710	-0.095134	-0.006108	-0.473421	-0.280995	-0.110123	-0.409283	-0.676930	-0.039168	0.268824	-0.348666	-0.567197	-0.321020	0.084251	-0.573327	-0.232447	-0.142324	-0.262765	-0.099954	-0.210607	-0.339822	-0.360488	0.196355	0.036586	-0.077673	0.189979	-0.003891	-0.137849	0.023305	0.080866	-0.160065	-0.010065	0.272021	-0.250734	0.023693	0.287548	0.074172	0.281237	-0.209246	-0.159533	-0.068923	0.119438	0.023146	-0.299847	0.140914	0.388740	0.278029	0.095829	0.109610	-0.592687	0.532211	-0.324653	-0.387893	-0.187713	-0.051608	-0.310149	0.320243	-0.069393	-0.472108	0.029441	-0.502655	-0.002711	0.081206	-0.351511	-0.299494	-0.196947	-0.187712	0.347169	-0.161332	-0.008916	-0.044554	-0.176757	0.100772	-0.059410	0.056401	0.234671	0.024755	0.234465	-0.379564	0.297593	-0.150263	-0.058496	0.308577	0.099309	0.082937	-0.032113	-0.041423	-0.560778	-0.213023	0.336896	0.269116	-0.258945	-0.528220	-0.218573	-0.073587	-0.175376	-0.226462	-0.044119	-0.302042	0.122190	0.003863	-0.139558	0.083087	-0.002319	0.252862	0.035812	0.211321	-0.350520	0.475563	0.259498	0.017060	0.065030	0.260779	-0.138887	0.209974	0.155966	-0.522430	-0.101462	-0.632649	-0.155216	-0.267271	0.159180	-0.019395	-0.032920	-0.102409	0.103885	0.007580	0.471205	0.037917	-0.140592	-0.160732	-0.071512	-0.140911	0.065839	-0.116528	-0.219587	-0.323453	-0.387685	-0.249351	0.055644	0.088554	-0.004502	-0.045134	-1.124578	-0.346940	-0.203247	-0.241827	0.188811	-0.285054	0.020932	0.236426	0.012896	-0.317930	-0.187145	-0.227584	0.121199	-0.469038	-0.281156	-0.231959	-0.090817	-0.071490	0.256928	-0.049465	-0.255581	-0.168450	-0.328715	-0.084828	-0.238559	0.316330	0.100790	-0.069918	-0.150885	-0.055371	-0.060579	-0.167516	-0.047940	0.082218	-0.113974	-0.408685	0.191018	0.235965	-0.387731	0.231729	0.113010	-0.469564	-0.354504	0.258753	0.368220	0.123535	0.041416	-0.179371	0.193692	-0.228956	0.011698	-0.405813	0.179010	0.137592	-0.440753	0.188811	-0.235152	0.026121	0.242956	-0.051855	-0.337709	0.195251	0.026935	-0.093988	-0.303121	-0.239235	-0.094252	-0.147823	0.191663	-0.370091	-0.142537	0.454445	-0.201182	-0.868097	-0.431282	-0.316002	-0.241347	-0.105174	-0.573016	0.086007	0.059882	0.117260	-0.091889	-0.288677	0.217912	-0.087145	-0.317481	0.206615	-0.498658	0.026875	0.380062	0.347599	-0.145254	-0.537050	-0.227127	0.147497	-0.259242	-0.218733	0.704326	-0.374426	-0.064283	-0.165732	-0.176250	0.048599	0.207611	-0.137675	-0.027256	-0.177981	0.448711	-0.450341	-0.264309	0.249614	-0.223325	-0.275064	0.146776	0.072813	-0.136187	0.180653	0.223987	-0.313287	-1.099879	-0.013617	-0.479875	0.205626	-0.358454	0.251066	-0.141936	-0.056131	0.011038	-0.116528	0.222705	-0.248067	-0.279941	0.212415	0.073857	0.169986	-0.094903	0.301152	-0.087302	-0.105541	-0.246096	-0.869499	0.092980	0.204331	0.044258	-1.086944	0.240923	-0.258180	0.048000	-0.316272	-0.007496	-0.221739	-0.461503	0.292481	0.084360	-0.019987	-0.046612	-0.022820	-0.501191	0.320054	-0.101260	-0.374176	-0.070241	-0.070707	0.265530	-0.006454	-0.149941	-0.581529	0.224962	-0.013060	-0.294409	-0.183316	0.168523	-0.252457	-0.344397	-0.397099	0.402657	-0.435045	-1.041215	-0.680605	-0.013184	-0.340286	-0.221674	0.075431	0.077994	0.026315	0.225211	-0.676170	-0.184673	0.277333	-0.323775	0.327692	-0.110155	0.085864	0.445815	-0.209975	0.370174	-0.002832	-0.290017	-0.161817	-0.131915	0.427630	-1.015971	-0.039212	-0.144647	-0.229452	0.058662	0.316303	-0.107154	0.210220	-0.602777	0.158340	-0.080347	0.035274	-0.320230	-0.111488	-0.414316	0.014517	0.633984	0.130728	-0.984167	-0.211843	0.381327	-0.277161	0.162919	-0.224861	-0.063786	0.005873	-0.402856	0.010015	-0.136807	-0.193525	-0.304927	-0.079369	-0.196731	-0.044795	0.296945	0.259922	0.031014	-0.238332	0.016968	-0.409797	-0.031285	0.026182	-0.099708	-0.255024	0.095128	-0.203019	0.202247	-0.064452	-0.275343	-0.311605	-0.368833	-0.791308	0.225603	-0.443080	-0.087095	0.026490	-0.327185	0.418331	0.681154	-0.160106	0.202327	-0.524928	-0.251595	-0.292137	-0.279108	-0.277283	0.098082	0.089102	-0.181336	0.234763	-0.214694	-0.489905	0.167106	0.235432	0.235492	-0.091717	0.004476	-0.584105	0.721525	-0.097950	0.374298	-0.271597	-0.097657	0.079339	-0.085951	-0.013058	0.664512	0.201657	0.177800	0.449941	-0.063385	-0.155486	-0.186995	-0.360053	-0.173210	0.045345	-0.157674	-0.220312	-0.360055	-0.217401	0.187535	-1.014602	0.276418	-0.294042	-0.396551	-0.154578	-0.134412	-0.509906	-0.272848	-0.268453	-0.216381	-0.372222	-1.242738	-0.564235	0.250480	-0.399964	-0.309811	0.046362	-0.271865	-0.273152	-0.131748	-0.023615	-0.257346	0.169617	-0.672848	0.034432	-0.083732	0.121783	-0.389477	-0.011719	-0.588392	-0.020701	-0.208322	-0.375427	-0.564630	0.200229	-0.256182	-0.157249	0.165127	-0.321392	-0.218458	-0.026051	-0.170069	-0.201066	-0.490440	0.089429	-0.352569	0.007789	0.171152	-0.074320	0.716055	-0.489632	-0.237086	-0.074905	-0.122872	-0.020308	-0.250971	0.291171	-0.263896	-0.348006	-0.172679	0.224676	-0.199829	-0.001635	-0.062922	-0.682204	-0.220934	-0.100088	-0.466537	-0.231547	-0.643019	-0.014098
2	38	6.644764	6.644764	0	0	1	15	0	2	1	1	0.596177	0.082434	-0.156199	-0.084980	-0.179003	-0.490377	-0.193691	0.186532	-0.801328	0.128750	0.403489	0.161287	0.030411	-0.074798	-0.190267	0.111516	-0.212994	-0.083166	0.363167	-0.202888	0.037665	-0.061916	0.082368	0.048723	-0.030065	0.166866	-0.145519	-0.039055	0.108837	0.037011	-0.117579	-0.096034	-0.056609	-0.076556	0.258624	0.101771	0.137174	-0.160126	0.024189	0.082768	0.252660	0.038133	-0.502416	-0.085013	-0.070318	-0.103448	-0.514130	-0.082062	-0.128593	-0.103577	-0.051940	-0.467242	-0.017634	0.320098	-0.560666	-0.210269	-0.157067	-0.131485	-0.362086	-0.317032	-0.129610	-0.099817	0.976473	-0.226415	-0.089304	-0.348236	-0.171433	-0.280356	0.293563	-0.029061	0.228214	0.220236	-0.105929	0.403210	-0.370791	-0.019662	-0.207856	-0.282276	-0.227644	0.157068	0.181181	-0.261680	-0.446216	-0.039467	-0.167400	-0.164722	0.107712	0.066196	-0.033533	-0.271823	0.009178	-0.353276	-0.501859	-1.200770	-0.011850	-0.512380	0.045149	0.024733	-0.030762	-0.651064	-0.118007	-0.329559	-0.077443	0.254080	-0.096291	-0.047501	0.038349	0.159437	-0.198785	-0.033271	-0.190758	0.438414	-0.007566	0.241783	-0.376468	-0.156469	0.046833	-0.069948	0.555772	-0.493690	-0.487741	-0.117087	-0.193735	-0.051622	-0.575978	-0.181458	-0.413930	-0.305024	0.204700	-0.418446	0.133298	0.004691	-0.520430	0.072980	-0.259493	-0.234900	-0.032320	-0.140199	0.275636	-0.125631	0.002688	0.109966	-0.083484	-0.525978	-0.122270	-0.213809	-0.476869	0.033087	-0.012343	-0.052023	-0.193446	-0.078753	-0.369944	0.088026	0.008017	-0.274360	-0.056740	0.068142	-0.489175	-0.022804	0.374223	-0.067383	0.075472	-0.029429	-0.228860	-0.051112	-0.031352	0.295448	-0.006127	-0.078087	-0.031158	-0.027047	-0.726550	0.006337	0.003805	0.015569	-0.057764	-0.234405	-0.276878	-0.138373	0.697107	-0.057557	-0.047283	-0.022928	0.104851	0.064959	-0.380442	-0.331366	-0.221555	0.316957	0.457702	-0.048721	0.251825	-0.187549	0.012452	-0.006047	-0.250711	-0.242899	-0.481216	-0.289905	-0.450787	-0.074034	-0.356549	-1.062939	-0.101043	-0.929262	-0.065452	0.081914	-0.308009	0.176654	-0.411281	-0.254962	0.171928	-0.003224	0.305941	-0.113355	-0.088959	0.074329	0.022906	-0.360584	0.167026	-0.303678	-0.173033	-0.040130	1.023286	-0.071844	0.250097	-1.136829	-0.047678	-0.117749	-0.012969	-0.374789	-0.021261	0.002570	-0.348803	-0.460897	-0.397945	-0.224036	0.074554	-0.025405	-0.624259	0.045911	0.011865	-0.076609	0.018605	0.039025	-0.144446	-0.007010	-0.080760	-0.041449	0.143537	0.053834	0.094667	-0.328822	-0.003708	-0.393066	0.082270	0.260103	-0.148089	-0.033224	-0.039939	-0.076077	0.100252	-0.255745	-0.632529	0.049935	-0.350213	0.952110	-0.051463	0.011235	-0.167870	0.216007	-0.299888	0.027971	-0.025336	-0.577923	-0.177121	0.012636	-0.059593	-0.287857	-0.037736	0.003635	-0.226728	0.107073	-0.372749	-0.185692	-0.040865	-0.171246	-0.114139	0.247436	-0.135498	-0.257176	0.106174	0.415205	-0.003724	-0.450988	-0.341534	-0.299969	-0.314439	0.013052	0.217669	-0.076726	0.101809	-0.242496	0.023055	0.131726	-0.053162	-0.031862	0.027719	-0.050751	-0.349143	-0.261877	0.131737	-0.348513	-0.047632	-0.050584	-0.028577	0.023804	-0.668885	0.047057	-0.243812	-0.263555	0.053752	-0.012590	0.010840	0.034046	-0.266514	0.037215	-0.364033	-0.314701	0.293814	0.001693	0.024713	0.145659	-0.094865	0.001629	-0.139215	-0.245262	0.166202	-0.050490	0.139106	-0.038504	0.191158	-0.003063	0.310944	-0.029980	0.267747	0.135935	-0.437636	0.212438	-0.315224	-0.088022	-0.222121	0.098212	0.050270	-0.028774	-0.015208	-0.110647	-0.320034	-0.047919	0.060387	-0.107067	-0.203481	-0.052677	-0.067839	-0.003390	0.061139	0.121734	0.065265	0.016589	-0.071634	-0.057456	0.075218	0.034087	-0.055191	-0.120209	0.009862	-0.059521	0.069517	-0.210064	-0.072070	-0.085626	-0.513303	0.051581	0.095363	-0.052953	0.527216	-0.443647	-0.227547	0.260039	-0.140461	0.135916	-0.282403	0.015630	0.042651	-0.205736	-0.285115	0.074111	-0.558585	-0.233086	0.020917	-0.195252	0.844732	-0.878468	0.022286	0.010776	0.003803	-0.441321	-0.190123	-0.041419	0.113451	0.026329	-0.402723	-0.309259	0.004691	-0.088260	-0.084644	0.111290	-0.040563	0.005892	-0.175412	-0.035456	0.039193	-0.019067	-0.412228	0.001765	-0.043978	-0.095104	-0.121751	0.104123	0.096263	0.016712	-0.111224	-0.006707	-0.143874	0.223240	-0.683108	0.364856	-0.070152	0.084433	0.040395	0.452933	-0.122153	-0.094038	0.083648	-0.351135	-0.220737	0.050290	-0.256233	-0.091102	-0.284360	0.191579	-0.208348	0.071447	0.166243	-0.403438	-0.358432	0.140665	-0.123336	-0.448567	-0.125575	-0.034460	-0.455426	-0.089208	0.188819	0.107072	-0.394745	-0.086547	0.167614	-0.115610	-0.088259	-0.198694	0.291043	0.050273	0.421245	0.178284	-0.170002	-0.531643	0.048462	-0.129441	-0.227870	-0.188555	-0.072163	-0.242082	-0.012303	-0.266545	0.184828	0.043823	0.072098	0.085950	-0.329281	-0.330735	0.008814	-0.132789	-0.026639	-0.553653	0.185047	0.244219	0.120595	0.129240	0.282783	0.067914	-0.288692	0.077615	-0.577038	-1.037051	-0.903634	-0.052599	0.219921	-0.134567	-0.238911	0.376071	-0.431984	-0.367784	-0.243542	-0.164446	-0.669892	-0.538254	-0.188380	-0.115395	0.035886	-0.137429	0.318277	-0.042143	-0.046230	-0.037225	-0.002178	0.007186	0.369200	-0.083343	-0.317822	-0.091506	0.032707	-0.073289	-0.220475	0.065552	-0.353495	0.208291	0.002117	0.019360	-0.053596	-0.491892	-0.156786	-0.042351	0.070292	-0.086194	-0.313232	-0.167236	-0.005006	-0.158706	0.272635	-0.039620	-0.487304	-0.345319	0.089225	0.525109	-0.497385	-0.037495	0.051312	0.534828	0.281430	-0.475734	0.014002	-0.313530	-0.169004	-0.088073	0.257515	-0.164117	-0.003977	0.038058	-0.208478	0.359737	-0.028798	-0.217333	0.311283	-0.613490	-0.054174	-0.319075	0.046355	-0.298446	-0.048525	-0.349252	-0.094230	-0.148119	-0.116319	-0.212602	-0.000738	0.036805	-0.027863	-0.020437	-0.019276	-0.039721	0.152945	-0.114336	0.287706	-0.254769	0.010844	-0.462030	-0.467559	0.084754	-0.640244	-0.036386	-0.329838	0.005125	0.331276	-0.094063	0.429683	-0.445776	0.326933	-0.015865	-0.266986	-0.433560	-0.371978	-0.025891	-0.048110	0.026135	-0.288867	0.281585	-0.041724	0.133955	-0.068252	0.170201	0.037371	0.211198	-0.680060	-0.714021	-0.130634	-0.084932	-0.027706	0.135415	-0.501616	0.002388	-0.230099	-0.044446	-0.063426	0.221503	0.014034	0.419914	0.042419	0.444404	0.181641	-0.639857	0.067385	0.075417	0.337212	0.029672	-0.642456	-0.226746	0.058152	-0.037740	0.250244	0.316369	-0.080201	-0.710198	-0.565771	0.060938	0.126931	-0.488212	-0.052792	-0.041227	-0.143044	0.027750	-0.123653	0.364581	-0.030067	-0.369528	-0.012038	-0.099917	-0.162856	-0.490231	-0.831317	-0.310817	-0.090898	-0.269410	0.054120	-0.082827	0.085721	-0.373715	-0.348376	0.009543	0.188173	-0.293312	0.009449	-0.392583	0.090054	-0.258271	-0.591392	0.042484	0.045674	-0.157486	-0.136006	-0.165503	-0.105882	0.008814	-0.462446	-0.149629	-0.175446	-0.041825	-0.097680	-0.278650	0.082550	0.067568	0.000922	0.315456	0.256049	0.025890	-0.428138	-0.178211	-0.499786	0.198565	0.003951	0.473869	-0.358443	-0.204738	0.014952	-0.819254	-0.046651	-0.025394	-0.099712	-0.131811	0.078877	-0.031342	-0.230155	-0.420293	-0.483823	-0.208202	0.002722	0.070419	-0.257101	-0.528404	-0.189425	0.030474	0.105833	0.589416	-0.236645	-0.342077	0.304579	-0.148137	0.127884	0.147805	0.038080	0.396016	0.062175	-0.082033	0.152525	0.051143	-0.270994	0.025312	-0.171896	-0.238823	-0.180975	-0.035615	-0.242512	-0.178437	-0.080442	0.028947	-0.222806	-0.122935	-0.186711	0.064688	0.011519	-0.203705	-0.244786	-0.454430	-0.123498	-0.456537	0.043506	-0.066527	-0.128841	0.131262	0.139691	0.012222	-0.414853	0.116797	0.106855	-0.371047	0.019606	0.041157	-0.123087	0.101809	-0.054465	-0.451354	-0.149833	0.158799	0.149659	0.061593	0.017264	0.493298	-0.495047	-0.240661	-0.179623	-0.300936	-0.217707	-0.032348	0.110431	0.015426	-0.260467	-0.492909	-0.316214	0.008395	-0.370418	-0.382181	-0.552998	-0.403180	-0.599783	-0.455494	-0.256402	0.043132	0.121325	-0.331915	-0.474106	-0.043959	0.086448	-0.133486	-0.229254	-0.044683	0.019810	-0.003270	-0.059873	-0.385878	-0.320939	0.268771	-0.113327	-0.041424	0.389711	-0.277023	-0.123042	-0.204938	-0.224758	-0.506200	0.019340	-0.187215	-0.330258	-0.168997	-0.103575	-0.170531	0.106895	0.102962	0.077320	0.688996	-0.713935	-0.078934	-0.145697	-0.174442	-0.234756	-0.223521	-0.587108	0.103804	0.028057	-0.012013	0.627626	0.374119	0.077711	0.111085	0.062115	-0.543185	-0.025279	-0.239993	-0.129964	-0.197910	-0.206973	0.008409	-0.476672	-0.427937	-0.173712	-0.140365	-0.230421	-0.873906	-0.457438	-0.295308	-0.046068	-0.167770	-0.185729	-0.325079	-0.130398	-0.143318	-0.728332	-0.376325	0.166748	-0.044679	0.394880	-0.101893	-0.703888	0.017429	-0.034869	-0.100918	0.095815	-0.752286	0.399391	0.197873	-0.280688	0.268923	0.231061	-0.118792	0.028753	-0.339584	0.139305	-0.093988	-0.007689	-0.321389	-0.092220	0.019883	-0.547788	-0.396410	-0.458850	-0.328904	-0.398278	-0.680444	-0.040950	0.004081	-0.457197	-0.174443	-0.438190	-0.116230	-0.117257	0.053320	-0.234248	0.243135	0.072182	-0.316272	-0.045915	0.238071	-0.057302	-0.210471	0.279762	0.555837	-0.496444	-0.396022	-0.046986	-0.096046	-0.073385	0.002253	-0.325136	-0.119379	0.053715	-0.521902	-0.255975	-0.213973	-0.137388	0.390749	-0.094026	0.787209	-0.291316	-0.011388	0.526791	-0.024999	-0.462847	0.285668	-0.190603	0.141178	-0.555438	0.081944	-0.006042	-0.121452	-0.025567	-0.009798	0.055926	0.145315	-0.290682	-0.106627	0.015908	-0.016662	-0.315662	-0.009082	0.362462	0.357897	-0.202359	0.365618	0.126000	0.004664	-0.228649	0.183967	-0.209000	0.288707	0.002432	-0.017586	-0.049732	0.013068	0.358274	-0.362411	0.120952	-0.037685	-0.174555	-0.181134	0.098826	0.139652	0.062496	-0.585201	0.066455	-0.210720	0.007333	-0.700568	0.369457	-0.427565	0.023933	-0.049586	-0.363886	-0.320409	0.146809	-0.211382	-0.158649	-0.400763	-0.243740	-0.202579	-0.086781	-0.394186	0.147279	-0.135730	-0.305287	0.448851	0.143093	-0.187308	0.014413	0.027965	-0.033207	-0.467379	-0.056654	-0.149452	-0.054028	0.574478	0.075337	-0.183322	-0.200229	-0.432539	-0.026365	0.167478	0.198976	-0.028399	0.253994	0.012851	-0.049010	0.443326	-0.121387	-0.426001	-0.147592	0.073405	-0.256728	-0.109046	-0.277766	-0.030657	-0.002193	-0.173473	-0.158494	-0.332226	-0.551058	0.085417	-0.234049	-0.177247	-0.599641	-0.295680	0.054397	-0.594397	0.192997	0.061050	0.223206	-0.202125	-0.299003	-0.074905	-0.192290	0.016294	0.201630	-0.123971	0.447121	0.255317	-0.043335	0.230541	-0.119930	0.354213	0.102082	0.220068	0.013762	-0.009616	-0.328582	0.173791	0.174843	0.145188	0.031569	-0.111305	-0.136801	0.070222	0.296437	0.412212	-0.257070	0.183530	0.304189	-0.046460	-0.739003	0.652174	-0.413822	0.024438	-0.115231	-0.023845	-0.000144	0.309551	-0.212157	-0.525938	0.173627	-0.586561	0.044907	0.079308	-0.112321	-0.036256	0.287903	-0.128028	0.010729	-0.155962	-0.094049	0.015181	-0.000769	-0.019806	-0.061202	-0.170884	-0.176239	0.056039	0.008862	-0.180236	0.340403	-0.019238	-0.033850	0.285858	-0.290392	0.261976	-0.099940	-0.055403	-0.260567	-0.142633	0.558457	0.056172	-0.287936	0.370841	-0.270661	-0.598039	-0.286576	-0.322454	-0.319299	-0.333672	0.637767	-0.146010	0.197740	0.269588	-0.058550	0.185193	0.142597	0.285717	0.333231	-0.558496	0.443758	0.079911	0.118197	0.538226	-0.089828	-0.117279	-0.040890	-0.561073	0.201186	-0.171836	-0.222117	-0.206442	0.048060	0.059469	0.047308	0.233957	-0.116470	0.188007	0.110399	-0.385205	0.091373	-0.168974	0.089601	-0.317865	-0.344896	-0.285015	-0.182390	-0.241431	-0.298021	-0.567537	-0.128182	0.006284	0.331118	-0.301391	-1.071904	-0.132179	-0.315731	-0.200676	0.002598	-0.446901	-0.087623	-0.032645	-0.031120	0.100233	-0.318736	0.093453	-0.235396	-0.392244	-0.413503	-0.446512	-0.063237	0.075500	0.036606	-0.055871	-0.420466	0.349044	-0.228439	0.223573	-0.154759	-0.366572	-0.157722	0.306653	0.188982	-0.257875	-0.092154	0.047555	-0.697922	0.380124	0.091886	-0.329443	0.058778	0.377745	-0.291611	0.601145	-0.140849	-0.558299	-0.243845	-0.241327	-0.010851	0.087439	-0.006346	-0.073454	-0.194642	-0.236129	0.115404	-0.306316	0.169532	0.104859	0.160285	-0.177451	-0.221596	-0.205492	0.169171	0.009662	-0.300705	0.596177	-0.069947	-0.101185	0.160966	-0.184200	0.092120	0.448235	0.044272	-0.165467	-0.390687	0.296300	-0.272776	0.291347	-0.253667	0.067141	-0.136360	0.125658	-0.488291	0.458227	-0.103081	0.074245	-0.293499	-0.435191	0.400258	-0.290411	-0.311525	-0.183303	-0.507848	-0.016329	0.146441	0.258095	0.018138	-0.013028	0.060670	0.211035	-0.242323	0.060509	0.238882	0.076257	-0.247387	0.070201	0.118146	-0.149749	-0.215155	-0.113520	-0.237709	-0.503718	0.189851	-0.665466	-0.351137	0.196119	0.409588	-0.376895	-0.041689	0.063841	-0.251184	-0.202518	0.588629	-0.227035	-0.970734	-0.091323	-0.362425	0.050314	-0.132012	0.175395	0.155090	-0.333560	-0.171254	-0.141561	-0.350619	-0.651954	-0.239312	-1.195136	-0.667773	0.442996	0.080440	-0.101346	-0.564406	0.258803	-0.417140	-1.145413	0.485099	-0.011982	0.117087	-0.687755	-0.100395	-0.110103	-0.010583	-0.480546	-0.125940	-0.233138	-0.410724	0.170439	-0.105234	-0.392757	0.082374	-0.046546	-0.452707	0.201419	-0.934033	0.541752	-0.223858	-0.066753	-0.009448	-0.048519	-0.228261	-0.717238	0.219708	-0.075041	-0.582351	-0.352675	0.006722	-0.291800	-0.271591	-0.336880	0.022188	-0.480788	-0.687938	-0.374235	0.022296	-0.287806	-0.427857	0.404436	-0.026787	0.532303	0.069036	-0.138987	-0.072021	0.095341	-0.243872	0.069593	-0.491548	0.302262	0.214189	-0.153346	0.392273	0.077507	0.362663	-0.064416	-0.296285	0.229334	-0.976162	0.145884	0.001760	0.188669	0.162272	0.165372	0.415875	0.541351	-0.532393	0.315586	-0.002711	-0.171778	-0.144736	-0.011610	-0.440074	-0.135573	0.287677	0.100407	-0.673922	-0.408616	0.311632	-0.314584	0.000325	-0.240810	-0.221086	-0.581057	-0.536492	-0.103906	0.169255	-0.035665	-0.189014	-0.119743	-0.243585	-0.095068	0.481303	0.131189	0.149247	-0.192614	0.038559	-0.165305	0.658240	-0.322834	-0.157391	0.139885	-0.035913	0.324696	0.306426	-0.417845	-0.465885	-0.468013	-0.292309	0.340959	0.452132	-0.482058	-0.236302	0.285367	-0.339917	0.171340	0.391128	0.307351	0.198469	-0.305602	-0.266555	-0.274115	-0.318845	-0.301571	0.037930	0.130978	0.311680	-0.124273	0.245384	-0.508773	-0.114573	-0.430745	0.358304	0.170395	-0.009106	-0.558650	0.496150	0.283010	-0.373419	-0.141074	-0.444533	0.052032	0.526278	-0.287922	-0.024397	-0.126292	0.250293	-0.379591	0.176434	-0.537141	-0.338271	0.111791	-0.165214	-0.131572	0.025060	-0.456114	-0.494807	0.275279	-0.319763	-0.952354	0.272332	-0.052670	-0.393308	-0.046095	-0.319538	-0.427367	-0.127232	-0.214976	-0.201319	-0.304842	-1.146720	-0.517358	0.273744	-0.095488	0.126990	-0.338886	-0.245286	0.229988	-0.084045	-0.171319	-0.333938	0.100245	-0.557075	0.510980	-0.171551	0.070004	-0.075787	0.043876	-0.196606	-0.220376	0.179152	-0.470602	-0.080452	0.611942	-0.018856	0.170203	0.609129	-0.080603	-0.255806	-0.233129	0.251981	0.583411	0.827428	-1.056209	-0.068477	0.011319	-0.037401	-0.479714	0.774578	-0.256280	-0.010993	-0.445192	-0.191234	-0.088751	-0.200597	0.355198	-0.363763	-0.364457	0.211452	0.519197	0.328736	-0.047571	0.084228	-0.695950	-0.402840	-0.099965	0.110155	-0.114298	0.258495	-0.198911
3	50	7.748118	7.748118	1	0	1	15	1	2	3	1	0.501286	-1.071614	-0.206041	-0.051775	-0.049676	-0.306176	0.061596	0.115982	-0.842997	-0.020820	-0.189779	-0.003238	0.450045	-0.024921	-0.187729	0.012188	-0.110403	-0.036232	-0.014174	-0.192298	-0.116583	-0.117127	-0.082694	-0.005107	-0.074346	0.090662	0.214941	-0.114225	-0.112160	-0.108567	-0.192184	-0.090999	-0.093462	-0.587146	0.095157	0.029532	0.038152	-0.055742	-0.056952	-0.234063	-0.045315	0.014587	-0.312572	-0.106923	-0.589406	-0.041847	-0.521765	-0.091159	0.174891	-0.110732	0.081555	-0.388621	-0.067356	0.638883	-0.752105	-0.238773	-0.046779	0.296058	-0.495123	-0.060168	0.147430	-0.135722	-0.560134	-0.313288	-0.058693	-0.056777	0.423212	-0.282164	0.179245	-0.740274	-0.879258	-0.858772	-0.064678	0.267690	-0.269906	0.022762	0.019408	-0.150287	-0.666152	0.178200	0.118723	0.023592	-0.522390	-0.060704	-0.365705	-0.080313	-0.178891	-0.049695	0.003398	-0.312674	-0.042298	-0.268126	-0.160847	-0.682960	-0.054801	-0.227748	0.077870	-0.020769	0.109470	-0.656663	-0.135591	-0.234001	-0.060119	0.278747	0.009014	0.122116	-0.040892	0.307104	0.210041	-0.080372	-0.310906	-0.134424	-0.048080	-0.389279	-0.295675	-0.645735	0.984978	0.689372	0.974152	-0.399570	-0.674144	0.195040	-0.147739	-0.054888	-0.395504	-0.017605	-0.297058	-0.296589	-0.573276	-0.551571	0.226803	0.364035	0.470708	0.087861	-0.178204	-0.257769	-0.036250	-0.156012	0.215458	-0.268712	-0.007521	-0.544872	-0.466819	-0.128685	-0.124449	0.067411	0.558743	-0.178397	-0.008702	-0.032943	0.013507	-0.697316	0.254120	-0.448597	0.031670	-0.405181	-0.093909	-0.091210	-1.149129	-0.006924	-0.419583	-0.101840	-0.424539	-0.016541	-0.017839	0.077636	-0.014860	-0.494307	0.007683	-0.006810	0.070349	0.389110	-0.088048	0.132888	-0.489917	-0.050950	0.027699	-0.211570	0.025721	-0.204386	0.322514	0.049346	0.009691	0.026978	-0.204086	0.151625	-0.189351	-0.410359	-0.182628	-0.061359	-0.198978	-0.361924	-0.385932	0.227887	0.031285	0.000231	0.576344	-0.427218	-0.390091	-0.662897	-0.116665	-0.033925	-0.031083	-0.113333	-0.065483	-0.517197	-0.282468	-0.078513	0.013155	0.212350	-0.217888	-0.316237	0.289619	-0.041822	-0.197730	-0.072982	-0.062612	-0.210749	-0.008081	-0.266755	-0.596916	-0.175491	0.175986	-0.085860	-0.741099	-0.038436	0.565607	0.615656	0.016522	-0.364043	-0.004020	-0.493007	0.028144	0.074426	-0.169952	-0.342389	-0.292908	-0.556548	0.064896	-0.076833	-0.200393	-0.008412	-0.322337	-0.015375	-0.025249	-0.120858	-0.064012	-0.024589	-0.058083	-0.091206	0.266065	0.124197	0.538679	-0.153330	0.010334	0.075751	0.401266	0.217241	-0.115728	-0.006042	-0.053746	0.005484	0.061824	-0.686313	-0.265317	-0.044101	-0.315045	-0.391535	-0.024019	0.029691	-0.195280	0.087381	-0.358761	-0.000188	-0.037834	-0.294186	-0.285325	-0.430169	0.136999	-0.126958	0.572389	-0.212871	0.458720	0.038372	0.222719	-0.212264	0.231150	-0.075585	0.553865	-0.364569	-0.063860	-0.225302	-0.357826	-0.146976	-0.047034	-0.561763	-0.288647	-0.435037	-0.465616	0.184856	0.299984	-0.057756	0.267724	-0.075529	-0.070136	-0.109972	-0.180601	-0.052610	0.017468	-0.015843	-0.276955	-0.164750	0.519682	0.112095	-0.045962	-0.028554	-0.230589	-0.031939	0.244868	-0.052564	-0.278583	-0.099920	0.121675	0.076392	0.252610	0.012829	-0.188583	0.061375	-0.319749	-0.738669	0.433784	-0.023382	0.042635	-0.107498	-0.211909	-0.031121	0.648080	-0.232687	0.072980	-0.060321	0.116044	-0.036372	-0.454036	-0.029950	-0.195431	0.280342	0.240285	-0.017111	-0.370046	-0.336276	-0.367922	-0.144996	-0.151444	0.043237	0.140858	-0.053587	-0.030297	-0.075839	-0.100157	-0.056624	0.094099	-0.484501	-0.267142	-0.052065	-0.051775	-0.013969	0.045635	-0.025725	0.003096	0.000451	-0.031076	0.298061	-0.188451	-0.084388	0.024716	-0.132586	0.006871	-0.473599	0.037176	-0.449718	-0.125759	-0.092525	-0.372296	0.071270	-0.107622	0.055034	0.069140	-0.459160	-0.150726	-0.196481	-0.011330	-0.333452	-0.301006	-0.088663	0.029865	-0.280835	-0.328648	0.131150	-0.638458	-0.347144	-0.048084	0.209742	0.706588	-0.561098	-0.661874	-0.015130	-0.000368	-0.276742	-0.076602	-0.171878	0.133369	-0.063718	-0.017353	-0.271033	0.139721	-0.400567	0.009636	-0.080039	-0.068184	0.016549	-0.478096	0.022359	0.081009	0.025212	0.403973	0.047318	-0.072588	0.350694	-0.135043	0.509815	-0.190662	0.020777	-0.129430	0.052072	-0.137032	-0.161318	-0.097296	0.121024	-0.151038	0.661656	-0.144808	0.033166	-0.315237	-0.122472	-0.249806	-0.145500	-0.007498	0.255155	0.412227	-0.007524	-0.382309	-0.232168	-0.291524	0.009294	0.648026	-0.581493	0.091297	-0.282479	-0.290368	-0.599869	0.033426	-0.007993	0.453410	0.043174	-0.142339	-0.223527	0.093212	-0.060891	-0.050615	-0.372441	0.040898	0.151569	-0.019889	-0.040522	-0.094958	0.245115	-0.450618	-0.313666	0.081950	0.236491	0.135094	-0.284411	-0.457688	-0.314043	-0.296450	0.175163	-0.244195	0.077684	-0.370584	-0.584455	-0.165170	-0.315981	0.057639	-0.060290	0.011659	-0.242457	-0.250356	-0.167579	-0.299142	0.171208	0.252844	0.095317	-0.143837	0.034299	-0.423381	-0.898918	-0.806994	-0.061766	-0.208362	0.241206	-0.229502	-0.189047	0.202579	-0.024787	-0.269985	-0.283140	-0.689884	-0.273023	-0.788906	-0.380007	0.024575	-0.009317	-0.176603	0.026463	-0.136053	-0.049635	-0.052238	0.008858	0.229115	0.018393	-0.137049	-0.110733	-0.208892	0.076187	0.073159	-0.588574	-0.223728	0.078340	0.040388	0.062749	-0.001997	-0.524041	-0.330520	0.233847	0.017650	-0.034207	-0.222475	0.252275	-0.375631	-0.218205	-0.259945	-0.723417	0.000116	-0.067019	-0.365954	-0.113767	-0.473546	-0.041024	0.112448	0.152701	-0.540307	-0.335570	-0.163894	0.491420	-0.264510	-0.244054	0.118618	-0.222598	-0.127758	-0.461348	-0.052571	-0.476770	-0.269526	-0.179070	0.727101	-0.392943	0.082646	0.147250	0.228618	0.063429	0.055313	0.109687	-0.050202	0.008329	-0.025229	-0.030947	-0.305543	0.058238	-0.015900	0.004957	-0.023990	0.011420	-0.505940	0.304948	-0.874008	0.347517	0.183127	-0.242335	-0.864397	-0.014611	-0.270410	0.026609	-0.639287	-0.615236	0.454031	0.202001	0.433574	0.353318	0.188834	-0.365675	-0.188664	-0.250242	-0.561407	-0.028482	-0.029824	-0.302692	-0.288535	0.443215	0.028140	0.201791	0.274707	-0.316828	0.377625	-0.432592	-0.628016	-0.340196	-0.231649	0.028362	-0.042324	0.202368	0.078578	-0.041057	0.022950	-0.005602	-0.384720	-0.129352	-0.182265	-0.276754	-0.079726	-0.201865	0.293255	-0.603304	0.088793	0.510274	0.227580	-0.554087	-0.749558	-0.107133	0.060392	0.102258	0.216581	0.654379	-0.051931	-0.424855	0.610884	-0.082839	0.037873	0.598091	-0.161400	0.031442	-0.202519	-0.169800	-0.702801	0.674278	-0.018454	-0.455460	-0.027209	-0.005422	0.281234	-0.114781	-0.778093	-0.383896	-0.725760	-0.934251	0.621015	-0.097439	-0.139307	-0.272267	-0.183104	0.095788	-0.135941	0.190952	0.050558	0.017074	-0.115182	0.014941	-0.434279	-0.052952	-0.064196	-0.336518	-0.082310	-0.018990	-0.436867	0.212270	-0.460236	-0.340223	-0.198134	-0.298881	-0.526843	-0.224250	0.033513	0.388005	0.059609	-0.557472	0.223552	0.005911	-0.218522	-0.227633	-0.480325	0.509062	0.189721	-0.478373	0.401380	0.262604	0.028884	-0.627154	-0.085318	-0.325264	-0.561058	0.149375	-0.001462	0.418763	0.274117	-0.360805	-0.302347	-0.170160	0.034757	0.143817	0.333488	-0.641334	-0.485032	-0.042712	-0.039500	-0.168432	-0.642391	-0.193993	0.053356	-0.166532	-0.271755	-0.050283	0.091761	-0.562185	0.087678	0.015538	-0.339993	-0.231460	-0.156324	0.122614	0.098815	0.028702	0.134335	0.223619	-0.223465	-0.390207	-0.214224	-0.284862	0.023064	-0.004130	-0.285339	0.015334	-0.087992	-0.054971	-0.279363	-0.309140	-0.162344	-0.567571	-0.222024	0.015191	-0.029245	-0.252507	0.148547	-0.243376	-0.454843	0.115288	0.061850	0.048662	0.096129	-0.012913	-0.226230	0.759299	-0.233129	-0.319359	-0.405085	0.209131	-0.668121	-0.144698	-0.103629	0.266355	-0.163167	-0.112102	0.240776	-0.761039	0.009990	-0.047393	0.066877	0.058700	-0.303529	-0.448086	-0.460201	0.088518	-0.619593	0.107419	0.543759	-0.599898	-0.437193	-0.640261	-0.260273	0.533011	-0.179445	-0.289648	0.043434	-0.437132	0.316878	-0.179194	-0.435892	-0.042390	0.163665	-0.298232	-0.412189	-0.403466	-0.150860	0.123560	0.141488	-0.291213	-0.267096	0.259332	0.003615	-0.298187	0.215197	-0.033543	0.051046	-0.184602	-0.367704	-0.005397	0.033931	-0.309038	-0.337795	0.303917	-0.306820	-0.530936	-0.078349	-0.250523	-0.246177	-0.176316	-0.291056	-0.176329	-0.542278	0.094754	0.098540	-0.005169	0.398285	0.370880	-0.208100	0.136262	0.134339	-0.405545	0.127404	-0.062166	-0.106881	-0.140052	0.334650	-0.187528	-0.266596	-0.342358	0.007733	-0.392288	-0.264082	0.149031	-0.507641	-0.166538	0.082506	-0.226431	-0.172932	-0.413240	-0.417192	-0.338242	-0.781721	-0.043931	-0.196031	0.036601	0.044586	-0.393937	0.292994	0.060675	-0.272710	-0.389843	0.238217	-0.579103	-0.369236	0.397816	-0.241689	0.278348	0.266472	-0.317175	-0.555958	-0.328557	0.421411	0.308437	-0.242026	0.129413	-0.016067	0.068665	0.398833	0.295309	-0.805088	-0.486580	-0.764450	-0.219668	0.112781	0.068792	-0.150033	-0.218975	-0.408914	0.116232	-0.120747	-0.040496	0.771230	-0.132066	0.562408	0.081616	-0.020180	-0.153053	-0.060910	-0.021021	0.525344	0.006565	-0.539387	-0.250328	0.218585	0.587630	-0.048342	-0.039979	-0.202263	0.017664	-0.021335	-0.766373	-0.665605	-0.253438	-0.073434	0.212666	-0.342400	1.289895	-0.274779	-0.170571	0.002805	-0.029681	0.495360	0.360814	0.101671	0.746574	-0.674505	0.372093	0.208659	-0.120259	0.005019	0.033362	0.184532	0.116067	0.241531	-0.296907	-0.044497	-0.091418	0.261501	0.013810	0.476429	-0.297544	-0.271894	0.687524	-0.332959	-0.017819	-0.348586	-0.153596	-0.219761	-0.219845	-0.410560	0.000253	-0.740247	-0.035302	-0.208993	-0.424131	-0.140641	-0.034478	-0.241523	-0.458891	-0.024648	0.091396	-0.096148	-0.660341	0.033233	0.051157	0.770212	-0.161083	0.319215	-0.824555	-0.156316	0.031476	-0.469643	-0.269426	-0.598515	0.180354	-0.191409	-0.088579	-0.058647	-0.198640	0.336797	-0.171511	0.391698	0.137233	-0.191821	0.261941	-0.376366	-0.083052	-0.061667	-0.073902	0.211922	-0.149715	0.432908	-0.240450	-0.029766	0.704321	0.185420	0.035896	-0.594399	-0.390538	-0.055017	-0.069327	0.067315	-0.293668	0.013583	-0.011189	-0.003785	-0.388068	-0.383219	-0.279857	0.172187	0.511886	0.105105	-0.064028	-0.061252	0.269429	-0.364109	-0.466846	0.001449	-0.197049	-0.152397	0.135306	-0.067105	-0.336383	-0.012866	-0.153312	-0.040909	-0.411493	0.010032	-0.196506	0.252561	-0.408667	-0.187263	0.270461	-0.440761	-0.277013	-0.598323	-0.319744	0.341274	-0.225833	0.600666	0.081057	-0.230837	0.266320	0.039786	-0.243422	0.042926	0.001138	0.115460	0.169967	0.149701	-0.167475	0.094298	0.021457	0.074290	0.054986	0.173883	-0.172970	0.065486	0.349871	-0.087764	0.040513	-0.708102	0.062555	-0.254047	-0.535803	-0.565829	-0.042203	-0.139105	0.829902	0.311264	-0.342824	0.178689	-0.576579	0.043649	0.360736	0.207455	-0.481013	0.664327	-0.017444	-0.307791	-0.279718	-0.022051	-0.058550	-0.167609	-0.188210	0.009777	-0.225060	-0.789562	0.297826	0.446325	-0.290056	0.025150	-0.051381	-0.042731	0.328504	0.257570	-0.130744	0.103508	-0.062519	-0.184604	-0.024384	-0.148934	0.376510	0.426521	-0.589915	-0.111562	0.154312	0.049307	-0.031592	-0.282642	-0.408090	0.107534	-0.007572	-0.349258	0.122479	0.080278	0.285465	-0.076998	0.254892	0.359589	-0.347847	-0.154110	-0.100371	-0.014679	-0.285617	-0.305117	-0.207808	0.188518	-0.523906	0.450108	-0.644780	-0.337320	-0.272606	-0.244512	0.027989	-0.056515	-0.316695	-0.393962	0.060586	0.723258	0.207474	0.003933	0.246477	-0.219163	-0.592344	-0.118294	-0.656355	-0.413779	-0.291812	-0.227423	-0.208646	-0.251752	0.065805	0.615505	-0.110570	-0.958368	-1.014097	-0.347264	0.126401	0.092070	-0.306253	-0.072819	-0.101637	-0.137299	-0.352033	-0.586497	-0.092133	0.364343	-0.556532	-0.190164	0.632591	0.376941	-0.122180	0.179094	-0.472998	-0.350218	-0.065001	-0.523203	0.177035	-0.232051	-0.351763	0.372685	0.294619	0.304134	0.385788	-0.130969	-0.118598	0.396194	-0.422702	0.168069	-0.456861	0.026502	-0.379222	-0.274048	-0.111351	-0.000892	0.032969	-0.255549	-0.009503	-0.028993	0.443478	-0.351794	-0.106869	-0.112005	-0.134332	0.262681	0.113354	-0.222899	0.466865	-0.096403	-0.573781	-0.206264	-0.128770	-0.397329	-0.341858	-0.260542	0.501286	-0.053145	-0.000203	0.041793	-0.346537	-0.355117	0.836328	-0.435763	-0.339983	-0.367596	0.211867	0.197233	0.097868	-0.483530	-0.282229	-0.320171	0.034425	-0.352719	-0.448852	0.182881	-0.047139	-0.088145	0.087094	-0.345050	-0.262394	-0.312494	-0.438570	0.203308	0.264044	0.513375	-0.048844	-0.170714	-0.826129	-0.438445	-0.380840	-0.238719	-0.199875	0.045789	-0.376790	-0.004796	0.151964	-0.791283	0.219097	0.705959	-0.237844	-0.608099	0.309562	0.210059	-0.074500	-0.283222	-0.398688	0.673900	-0.219956	-0.330755	-0.181248	-0.064047	0.437301	0.069988	-0.140563	-0.985127	-0.171128	-0.454867	-0.362581	-0.605006	0.686163	-0.398132	0.111812	0.202895	-0.047989	0.039940	-0.324642	0.222651	0.976676	0.646417	-0.066304	-0.298989	0.283218	-0.278492	-0.085837	0.436510	-0.930378	-0.184032	-0.250049	0.305833	-1.034569	-0.263313	-0.130627	0.213556	-0.216478	-0.075931	-0.508236	-0.445702	-0.261098	-0.035503	0.044155	0.187053	0.038345	-0.469632	-0.523677	0.024807	0.237869	-0.013406	0.166980	-0.457842	-0.221759	0.624799	-0.297413	-0.346948	-0.099796	-0.352802	0.183402	-0.118067	-0.375277	-0.510824	-0.926409	0.472189	-0.426247	-0.565565	-0.790261	-0.574813	-0.249868	-0.218987	0.124899	-0.362940	-0.508475	0.251044	-0.512522	-0.430332	0.126479	-0.121188	-0.391849	0.939467	-0.099851	0.202849	0.229342	0.220997	0.066387	-0.299795	0.069708	-0.241424	0.206132	-0.609349	0.583086	-0.357693	0.075470	0.444215	-0.044599	0.276154	0.191095	-0.411469	0.229133	0.209759	-0.145047	0.125645	0.290361	-0.498997	0.170154	0.997816	0.114081	-0.825842	-0.371961	-0.207110	0.180954	0.261499	-0.166714	-0.007753	-0.371883	-0.406531	-0.082655	0.420281	-0.365384	-0.405449	-0.065553	0.231366	-0.331244	-0.108176	0.063804	-0.197364	-0.186033	0.508493	0.158739	0.380810	-0.261152	0.120787	-0.287776	-0.296366	-0.275321	0.182183	-0.540092	-0.345987	0.016178	-0.421229	-0.645285	0.057428	-0.276029	0.171411	-0.054152	-0.207344	0.596006	0.119313	0.230015	-0.770832	-0.289100	-0.156712	-0.153782	-0.368969	-0.343178	0.216438	-0.280283	0.693556	0.049214	0.689486	-0.777743	0.513689	0.900089	0.517531	0.141145	-0.201229	-0.137770	0.774448	-0.413888	0.009898	0.114044	-0.046686	-0.590853	-0.114399	-0.029809	0.278349	-0.193947	0.219785	-0.006463	-0.533436	-0.028114	-0.172015	0.115734	0.042083	-0.282671	-0.538557	-0.355338	-0.439597	0.067401	-0.149562	-0.759391	0.306680	-0.511917	-0.447543	-0.314267	-0.208884	-0.465281	-0.330805	0.436123	0.281188	-0.202479	-0.608917	-0.457443	0.319661	-0.475031	-0.206113	0.052275	-0.197183	-0.335951	-0.332761	-0.294997	-0.179620	0.224798	-0.730459	0.431316	-0.153838	0.096750	0.004083	0.357040	-0.509627	-0.298738	-0.131830	-0.423847	-0.732862	-0.437769	-0.337763	-0.230526	-0.371917	-0.148544	-0.554392	-0.436530	-0.298767	-0.292425	-0.658711	0.188053	-0.361884	0.263228	0.155554	-0.136231	-0.139935	-0.646764	-0.231747	-0.461515	-0.231232	-0.180521	0.160247	-0.400131	-0.429229	-0.382146	0.189681	-0.115396	0.648861	-0.039088	0.182182	-0.524640	0.037320	-0.167688	-0.016790	-0.285344	-0.251188	0.862710
4	38	6.436687	6.318960	0	1	1	15	0	2	2	1	-0.066771	-0.982276	-0.514666	-0.118483	-0.086523	-0.377659	-0.093353	0.302795	-0.794573	-0.001558	-0.210314	0.046650	-0.151043	-0.016541	-0.168022	0.048334	-0.049165	-0.060926	-0.060485	-0.061257	-0.018171	-0.057568	0.033263	0.070836	-0.028673	0.103178	0.081241	-0.029509	-0.065523	-0.073158	-0.294788	-0.056577	-0.063829	0.126302	0.051351	0.016544	-0.051147	-0.150516	-0.166902	-0.129874	-0.212843	-0.187535	-0.425278	-0.052321	-0.127992	-0.053063	-0.142176	-0.107002	0.059931	-0.120258	-0.044911	-0.002394	-0.052131	-0.443651	-0.372811	-0.357767	-0.081700	0.199455	0.001213	-0.301941	-0.324412	0.195129	-0.448369	-0.850559	-0.037206	0.087418	-0.273102	-0.330834	-0.046541	0.306676	0.548042	0.536014	-0.122503	-0.292595	0.171441	-0.005125	-0.275666	-0.170958	-0.465670	0.113098	0.105287	-0.125615	-0.108290	-0.003358	0.253999	-0.095224	0.383268	-0.101165	-0.063659	0.138641	-0.048362	0.426062	0.068628	0.506258	-0.046129	-0.748286	0.100411	-0.013822	-0.001126	-0.469188	-0.041073	-0.232803	-0.054378	0.034033	0.075284	-0.068417	-0.009581	0.201022	0.032104	-0.118790	-0.350702	0.020884	-0.052451	-0.265011	-0.296953	-0.341601	-0.479474	0.170933	-1.120656	-0.428445	-0.355829	0.482903	-0.237078	-0.074897	-0.278177	-0.275157	-0.317024	0.058347	0.760574	-0.384144	-0.186228	0.191772	0.651587	0.044348	0.173622	-0.041527	-0.024255	-0.100853	0.295692	-0.217380	0.006223	-0.109632	-0.360700	-0.267602	-0.031800	0.145548	-0.217144	-0.147598	0.001993	0.028193	-0.004006	0.355544	-0.288941	0.033883	-0.032752	-0.010362	-0.038653	-0.099765	-0.590737	-0.038317	-0.238972	0.050859	-0.160895	-0.061577	-0.040632	-0.016919	-0.023728	-0.271804	0.012385	0.002450	0.081632	0.032320	-0.141137	-0.240470	-0.342038	-0.023718	0.015529	-0.248943	0.048947	-0.114425	-0.468068	-0.021931	-0.030077	-0.002673	0.066714	0.570700	-0.252438	-0.199980	-0.149861	-0.163502	-0.493134	-0.170819	-0.181466	0.045337	-0.014879	0.017823	-0.023229	-0.072367	-0.118119	-0.125646	-0.156786	-0.025038	-0.251160	-0.953570	-0.111927	-0.265650	-0.124001	-0.071995	0.040438	0.057546	0.216208	-0.260232	0.107215	0.022790	-0.120659	-0.038827	-0.039610	0.134523	-0.033753	-0.427072	-0.270146	-0.212224	0.060096	-0.031983	0.086426	-0.004491	0.268920	0.455747	0.019368	-0.319172	-0.027992	0.158117	-0.016452	0.014184	-0.271095	-0.472757	-0.105272	-0.357365	0.023879	-0.050642	-0.576791	-0.001218	-0.019388	0.010622	0.048201	-0.103588	-0.035996	0.032638	-0.105810	0.010036	0.167449	-0.006619	-0.214087	-0.318771	-0.010974	-0.061845	0.137750	-0.219813	0.028772	-0.094022	0.005506	0.005145	-0.020647	-0.086910	0.077880	0.247255	-0.340364	0.487524	-0.043708	0.009371	0.193226	0.179099	-0.303168	0.028566	-0.014479	-0.082747	-0.252463	-0.304371	0.089966	-0.173457	-0.032388	-0.355906	-0.518292	-0.014683	-0.093641	-0.216348	0.332001	-0.307346	0.121169	-0.434713	-0.157711	-0.188909	-0.497470	-0.219489	0.044661	-0.356882	-0.111644	0.167461	0.076115	0.163178	0.195254	-0.022192	-0.040702	-0.152797	-0.041103	-0.223474	-0.057103	0.058959	-0.027936	0.020164	-0.002989	-0.111435	0.514303	0.174170	-0.042766	-0.042194	-0.169077	-0.024609	-0.469571	-0.015195	0.054691	0.148090	0.027847	-0.029417	-0.051388	-0.071581	-0.026164	0.013587	-0.405494	-0.029575	0.409306	-0.182269	0.038388	-0.235965	0.076502	-0.036625	0.006296	-0.255581	0.157577	-0.020372	-0.093809	-0.076127	-0.238737	-0.009438	0.347609	0.222074	0.329764	0.003035	-0.383205	-0.256563	-0.192260	0.019146	-0.006794	-0.015600	0.002976	-0.041992	-0.008161	-0.017511	-0.262117	-0.009300	-0.247421	-0.294174	-0.282609	-0.036369	-0.080379	0.013118	-0.012972	0.064772	0.009384	0.038627	-0.049263	0.288307	-0.488221	-0.033266	-0.028594	-0.107285	-0.000828	0.153536	-0.012270	-0.206043	-0.068993	-0.127666	-0.443094	0.008218	0.156755	-0.167967	-0.427230	-0.125850	-0.251908	0.326219	-0.011131	0.392221	-0.317951	0.024659	0.045412	0.074496	-0.230865	-0.278600	0.152869	0.273216	0.013915	-0.166502	0.389886	-0.744273	-0.349657	0.018911	-0.052581	-0.134930	-0.011832	-0.108784	-0.177814	-0.013307	-0.264718	-0.241074	0.036428	-0.409397	-0.066235	-0.099061	-0.091095	-0.087475	0.010033	0.047823	0.040692	0.023177	0.000956	0.030504	-0.045702	-0.089713	-0.271937	0.012588	-0.533838	-0.028701	-0.117279	-0.043581	-0.183075	-0.131614	-0.084753	0.095848	-0.283591	0.206520	-0.212951	-0.227622	-0.214854	-0.016148	-0.280029	-0.257562	-0.176493	-0.129654	0.194333	0.103008	-0.356267	-0.178294	-0.069120	0.010148	-0.300878	-0.413467	-0.321047	0.175172	0.049843	-0.170212	-0.048139	-0.081928	-0.187618	-0.016257	-0.183280	0.027361	0.207011	-0.121836	-0.058365	-0.078609	0.282175	-0.237340	0.021581	0.041530	-0.035160	-0.121885	-0.293226	-0.444309	0.006628	-0.144435	-0.147992	0.187338	0.297409	0.481427	0.275046	-0.049582	-0.057636	-0.053340	-0.283263	-0.296533	-0.104963	-0.389478	0.030197	-0.045958	0.020764	-0.092056	-0.344429	-0.047493	0.310599	0.103912	0.249338	-0.021076	-0.328727	-0.043303	-0.505429	-0.823482	-0.678414	-0.020138	0.400828	0.186059	-0.123877	-0.556165	0.107993	-0.066393	-0.038770	-0.041827	-0.274417	-0.219967	-0.532738	-0.443087	0.473124	0.018993	0.030060	-0.076960	-0.075005	0.029382	-0.066796	0.065536	-0.197081	-0.028985	-0.163663	-0.238438	0.176004	0.061844	0.137088	0.046933	-0.250508	0.052259	-0.516076	0.022430	-0.012404	-0.535369	0.116192	0.110551	-0.002375	-0.049458	-0.126683	-0.251099	-0.268305	0.065868	-0.100057	-0.344271	-0.059603	-0.133027	-0.180405	-0.103086	-0.353112	-0.057145	0.064751	-0.044920	-0.582398	0.212350	-0.120064	-0.046611	-0.145235	0.140503	0.495647	-0.125734	0.317431	0.085147	-0.376097	-0.141473	-0.266371	-0.204131	0.146374	-0.006325	-0.076108	-0.034002	-0.031618	0.162248	0.094740	-0.057579	0.146602	0.056949	-0.242623	-0.036088	-0.069014	0.033776	-0.019776	-0.007974	-0.077151	0.064384	-0.629491	-0.032751	-0.595770	0.368692	0.033192	-0.218831	-0.261561	-0.237108	0.439423	-0.003275	-0.421918	-0.219469	-0.015754	0.131669	-0.371584	0.084726	0.005446	0.054611	-0.239833	-0.194603	-0.412649	-0.052693	-0.066902	-0.326972	0.022247	-0.194265	0.027384	0.189052	-0.057668	-0.290899	-0.036142	-0.346413	-0.337908	0.156436	-0.053800	0.026409	0.113176	-0.545602	-0.164780	0.003400	-0.002263	-0.079346	-0.271506	-0.155163	-0.243300	-0.157001	0.094581	-0.207130	0.101844	-0.548391	0.035654	0.634306	-0.132948	-0.153913	-0.830118	-0.231163	0.120705	0.085249	0.186159	0.346673	-0.031886	0.106892	-0.082180	0.687746	0.310642	-0.121713	-0.190951	0.006953	-0.253348	0.343059	-0.238941	0.526308	0.051068	0.017851	0.052505	-0.105916	0.023018	0.016887	-0.740475	-0.040977	-0.425361	-0.296788	0.281757	-0.135222	0.106831	-0.397495	-0.105009	-0.122096	0.020852	-0.192549	0.020863	-0.026105	-0.144869	0.153471	-0.106496	0.036974	0.026885	-0.246376	-0.244878	-0.035332	-0.294245	-0.134561	-0.125378	-0.006496	-0.128330	-0.376959	0.164245	-0.233877	0.252929	0.267290	0.060577	0.193960	-0.286023	0.018258	-0.301559	-0.130569	-0.195956	-0.223613	-0.356179	-0.252221	0.535105	0.069589	0.033826	-0.672999	0.180476	-0.269070	-0.289509	-0.670515	-0.016542	0.270542	0.403323	-0.153128	0.064258	-0.148919	0.009309	0.114638	0.031280	-0.828734	0.304873	-0.085379	-0.079395	-0.112638	-0.044142	0.029106	0.112474	-0.314045	-0.271912	-0.097252	0.066442	0.243780	0.098888	-0.104920	0.357168	0.294009	0.287878	0.097152	0.289621	-0.141250	0.122206	0.145029	-0.300699	-0.522104	-0.132541	0.345897	-0.397075	0.358846	-0.408774	0.013654	0.057285	0.021472	-0.220377	-0.495785	-0.162275	-0.566700	-0.171658	0.009331	-0.119991	-0.290298	0.156087	-0.831662	-0.358514	-0.358364	-0.104643	-0.008822	0.341021	0.096599	-0.148317	-0.376313	-0.315096	-0.400977	-0.427596	-0.165576	0.068011	-0.076152	0.029208	-0.034694	-0.001343	-0.477787	-0.415594	-0.249202	-0.017758	-0.078376	-0.361709	0.398569	0.107232	-0.392663	-0.394076	0.009014	0.118778	-0.249495	-0.187160	0.477302	0.171275	-0.704525	-0.294753	0.294122	-0.147154	-0.001369	-0.610602	-0.237987	-0.383024	-0.222073	-0.142325	0.065601	0.273200	0.013471	0.338048	0.049995	-0.137521	-0.148324	0.021607	0.140565	-0.475503	-0.147712	0.091262	0.504575	-0.002721	-0.219777	-0.069134	0.033829	-0.089146	0.085359	-0.256847	-0.347454	0.279645	0.231969	-0.220136	-0.036335	-0.426350	-0.174082	0.328106	-0.137845	-0.578297	0.001756	-0.673290	0.081202	0.093902	0.055255	0.252328	-0.438398	-0.406543	0.147082	0.062457	-0.319047	0.058835	-0.203329	-0.213911	-0.171576	-0.056046	0.038471	-0.440294	-0.411621	-0.109090	-0.551662	-0.278786	-1.180691	0.039859	-0.340718	-0.084986	-0.477557	-0.159486	0.172479	-0.414259	0.492951	-0.614033	0.254649	-0.041393	0.003959	-0.002092	-0.420583	-0.711578	-0.005879	-0.031664	-0.149659	0.166192	-0.690160	-0.131746	0.482950	0.283728	0.476297	0.459173	-0.125867	-0.076084	-0.474894	-0.179822	-0.427361	-0.117252	0.062489	-0.061176	-0.571433	-0.230992	-0.214310	-0.185546	-0.446167	-0.248298	0.053273	0.019353	0.170480	0.266978	-0.093021	-0.139317	-0.936522	-0.202080	0.058622	0.322058	0.240703	0.157500	-0.177837	-0.074879	-0.175939	-0.005288	-0.186336	0.323531	-0.070455	-0.563818	-0.250474	0.142938	0.539538	0.087680	0.022544	0.542148	0.067416	0.178432	-0.519572	-0.453647	0.001316	-0.115994	0.159954	-0.280970	-1.159343	-0.178130	-0.108667	-0.331441	-0.000860	-0.640547	0.275408	-0.195220	0.370349	-0.050588	-0.141644	0.097583	-0.123850	0.039941	0.130916	-0.085878	-0.353838	0.115892	-0.215453	0.038451	0.084506	-0.131704	-0.023472	0.257690	0.075892	-0.218278	0.142128	-0.106206	0.292223	-0.416298	0.200381	0.642264	-0.287009	-0.233702	0.020890	-0.224491	0.100383	-0.313198	-0.083712	-0.097064	-0.016322	-0.285582	0.064625	-0.052128	0.247903	0.108906	-0.255909	0.093224	-0.126757	0.274054	0.300320	0.133280	-0.154742	0.398540	0.043441	-0.453543	-0.295290	0.109132	0.051868	-0.176433	-0.158044	-0.050256	-0.040411	0.194489	-0.140249	-0.169424	-0.067389	-0.249431	-0.259368	0.308653	-0.259766	-0.001467	0.058482	-0.245957	-0.271306	0.282096	0.090046	-0.060418	-0.216247	0.130414	-0.013771	-0.266572	-0.233670	0.076641	0.028667	0.155453	-0.270500	-0.310596	0.077237	0.632410	-0.105555	-0.051655	-0.367560	-0.019633	-0.268065	0.114332	-0.054528	-0.177818	-0.192444	-0.475398	0.080943	-0.154191	-0.282269	-0.769301	0.017009	0.365034	-0.432694	-0.977367	0.119277	0.046035	-0.526181	-0.154061	-0.078220	0.225021	-0.132017	-0.190452	0.250860	-0.003710	-0.043671	0.091189	0.027465	0.078748	-0.261649	-0.461242	0.170152	-0.405969	0.285161	0.083840	-0.269326	0.135965	0.072902	-0.138350	-0.163371	0.235158	-0.166289	0.056880	0.030212	-0.091850	0.064462	-0.388324	-0.158507	-0.244764	0.130533	-0.129184	-0.040224	-0.595015	-0.300819	-0.164339	-0.430152	0.227319	0.083902	-0.212191	0.015718	-0.175851	-0.068251	-0.419530	-0.590872	0.020469	-0.045829	-0.425512	0.035174	0.017247	-0.130655	-0.149370	-0.074089	-0.256316	-0.028985	-0.261452	-0.234019	-0.282893	-0.196860	-1.061899	-0.001653	-0.042661	-0.243738	-0.149488	-0.168398	0.005345	0.016566	0.021612	-0.148012	-0.004031	-0.044635	0.060719	-0.049996	0.106170	0.244920	0.051368	-0.558273	0.100550	-0.216782	-0.178433	0.147540	0.504678	-0.371412	0.090182	-0.154530	0.261477	0.223980	-0.179104	0.165928	0.062092	-0.033195	0.192205	0.281249	0.185740	-0.050156	-0.035895	-0.570791	-0.261060	0.267403	-0.132826	-0.501123	0.308188	-0.046665	-0.213474	-0.047891	-0.259688	0.012589	0.019533	-0.114765	-0.322367	-0.127285	0.457872	0.042775	-0.109774	-0.286254	-0.170104	-0.494807	-0.080921	-0.065965	-0.329489	0.174776	-0.228119	-0.314181	-0.069457	0.204737	0.121965	0.006783	-1.068901	0.210429	-0.219465	0.342726	-0.504185	-0.406575	-0.337143	0.012929	-0.060840	-0.296435	0.102836	-0.205105	0.181185	-0.504467	-0.196821	-0.233345	-0.093015	-0.081642	-0.238948	0.026718	-0.076795	-0.216219	-0.187257	0.069823	-0.267418	-0.283793	-0.106074	0.011843	0.171803	-0.078619	-0.074276	-0.408756	-0.746241	-0.157597	0.156995	-0.469196	0.268657	-0.244324	0.466723	-0.232760	0.191273	-0.388746	0.375419	0.111119	0.012526	0.461790	0.255136	-0.138447	0.270454	-0.229468	-0.178013	-0.180492	-0.020213	-0.206851	-0.263092	-0.471293	-0.126562	-0.095494	-0.167793	-0.138842	-0.025372	-0.066771	0.007249	-0.386425	0.022607	-0.046239	0.007110	-0.328880	-0.363110	-0.003122	-0.326368	0.244615	-0.123543	0.356379	-0.328217	-0.222408	0.054689	-0.444671	0.037968	0.118561	-0.064622	0.272183	-0.134857	-0.225188	-0.011813	-0.056360	-0.296245	-0.534583	-0.243726	-0.045804	0.343490	0.204580	-0.034792	-0.039271	0.363391	-0.132705	-0.013633	0.189892	-0.137351	-0.179152	-0.177149	0.292143	-0.355872	-0.037229	0.182605	-0.284449	0.297987	-0.060623	0.187481	-0.332493	-0.254909	-0.208652	-0.332901	-0.183677	-0.314455	-0.304050	-0.109691	-0.064158	0.069415	-0.131634	-0.959086	-0.243936	-0.389919	-0.191652	-0.070410	0.087514	-0.113861	-0.153738	-0.216271	-0.007382	-0.121880	0.334028	-0.055107	-0.624138	-0.407426	-0.237982	-0.346208	-0.105216	-0.214206	0.112792	-0.075172	-1.028206	0.245364	-0.245473	0.214512	-0.855520	0.077345	-0.105126	-0.063632	-0.144903	-0.027538	-0.242970	-0.644114	-0.191815	-0.203108	-0.055127	-0.023043	-0.095728	-0.571115	-0.138990	0.063471	-0.160607	-0.076807	0.003046	0.073720	0.032633	-0.249347	-0.558028	-0.030826	-0.075879	0.210467	0.450031	-0.224131	-0.413039	-0.210153	-0.389096	0.020477	-0.210792	-0.907695	-0.232505	-0.218650	0.247467	-0.220384	0.272390	-0.191751	-0.052880	-0.044877	-0.306516	0.206842	-0.024740	0.191708	-0.217992	0.124888	0.209359	0.141275	-0.069405	0.243276	0.063059	0.256771	0.075669	-0.386573	0.414981	0.637607	0.126196	-0.104650	-0.225521	0.237376	-0.017837	0.226684	-0.026611	-0.601001	0.170819	0.280338	-0.091438	0.006922	0.040201	0.031125	0.004657	0.081995	0.166126	-0.871982	-0.007858	-0.131296	-0.234017	0.094883	0.134334	-0.144140	-0.537412	-0.280631	-0.020020	-0.028126	0.114211	-0.187622	-0.028582	-0.128280	-0.195080	-0.160542	-0.097916	-0.147763	-0.137399	0.177659	-0.056272	-0.358451	0.153000	0.033627	-0.036912	-0.295768	-0.362721	0.017746	-0.323436	-0.530531	-0.007776	-0.157765	-0.796654	0.290945	-0.413350	-0.054640	0.198538	-0.287249	0.214496	-0.064324	0.090781	-0.232589	-0.265183	-0.251886	-0.219194	-0.056031	-0.035017	-0.114653	-0.218287	0.306655	-0.170471	0.018945	-0.754508	0.180188	0.207500	-0.079080	-0.443078	-0.135049	0.697587	0.189996	-0.471130	-0.558086	-0.147354	-0.077195	-0.434535	-0.096727	0.091748	0.113700	-0.195010	0.096756	-0.361112	-0.574483	-0.009378	-0.232987	-0.393908	-0.192602	-0.083266	-0.276187	-0.416254	-0.320497	-0.005439	-0.107867	-0.838528	-0.363896	-0.239209	-0.540397	0.510401	0.052161	-0.580379	-0.133835	-0.289397	0.265427	-0.264489	0.595048	0.574656	0.464328	-0.107824	-0.107315	-0.239094	-0.168570	-0.430431	-0.115012	0.296333	-0.266616	0.065201	-0.230357	-0.122014	-0.245155	0.303565	0.056237	0.136733	-0.534921	0.159647	0.281523	-0.318070	-0.171916	0.064884	-0.261164	0.163015	0.057460	-0.190698	-0.144005	0.430455	-0.313115	0.141877	-0.711848	0.011089	-0.067695	0.147941	-0.059997	-0.162217	0.376607	1.848225	-0.241328	-0.215452	-0.365594	-0.022543	-0.383856	-0.122634	-0.398354	-0.386030	0.286508	-0.238712	-0.287538	-0.286893	0.057082	-0.565021	-0.105632	-0.108148	-0.405853	-0.053601	-0.677072	0.134160

	count	mean	std	min	25%	50%	75%	max
age	272.0	44.047794	5.464538	26.000000	40.750000	45.000000	49.000000	53.000000
survival	272.0	8.080609	3.904874	0.711841	5.499738	7.359343	10.512662	18.340862
timerecurrence	272.0	7.250433	4.177462	0.271047	4.389459	6.950034	9.986311	18.340862
diam	272.0	22.529412	8.703345	2.000000	15.000000	20.000000	29.250000	50.000000
posnodes	272.0	1.341912	2.108848	0.000000	0.000000	0.000000	2.000000	13.000000

	count	mean	std	min	25%	50%	75%	max
esr1	272.0	-0.253044	0.559309	-1.511655	-0.581590	-0.084256	0.152075	0.596177
G3PDH_570	272.0	-0.025154	0.626507	-1.951243	-0.165442	0.056432	0.213871	1.897414
Contig45645_RC	272.0	-0.042121	0.376843	-2.000000	-0.160641	-0.049159	0.099495	2.000000
Contig44916_RC	272.0	-0.019142	0.301998	-2.000000	-0.106249	-0.029375	0.041888	2.000000
D25272	272.0	0.037009	0.347107	-1.132837	-0.077732	0.003066	0.064462	2.000000
...	...	...	...	...	...	...	...	...
Contig29014_RC	272.0	-0.015141	0.323474	-2.000000	-0.099996	-0.002994	0.074571	2.000000
Contig46616_RC	272.0	-0.057222	0.297915	-0.871728	-0.253693	-0.052311	0.166774	0.591880
NM_000888	272.0	-0.038441	0.246020	-0.593263	-0.185253	-0.071930	0.100221	0.993960
NM_000898	272.0	-0.240416	0.482092	-1.679470	-0.579311	-0.213541	0.116691	1.298576
AF067420	272.0	-0.252884	0.472775	-2.000000	-0.554709	-0.254435	0.051704	0.988492

	survival_5years
NM_001333	-0.342691
NM_018410	-0.336975
NM_006096	-0.331805
Contig57584_RC	-0.329595
NM_005733	-0.326794
...	...
AL137566	0.359258
AL049265	0.369567
esr1	0.372706
NM_000125	0.372706
survival_5years	1.000000

	age	chemo	hormonal	amputation	histtype	diam	posnodes	grade	angioinv	lymphinfil	survival_5years	C0	C1	C2	C3	C4	C5	C6	C7	C8	C9	C10	C11	C12	C13	C14	C15	C16	C17	C18	C19	C20	C21	C22	C23	C24	C25	C26	C27	C28	C29	C30	C31	C32	C33	C34	C35	C36	C37	C38	C39	C40	C41	C42	C43	C44	C45	C46	C47	C48	C49	C50	C51	C52	C53	C54	C55	C56	C57	C58	C59	C60	C61	C62	C63	C64	C65	C66	C67	C68	C69	C70	C71	C72	C73	C74	C75	C76	C77	C78	C79	C80	C81	C82	C83	C84	C85	C86	C87	C88	C89	C90	C91	C92	C93	C94	C95	C96	C97	C98	C99
0	43.0	False	False	True	1	25.0	0.0	2	3	1	True	-12.364424	-4.064729	0.820999	1.035345	-0.067892	4.544601	1.567334	1.610498	1.758890	2.770283	-0.684424	-0.139539	8.262122	-6.858509	1.036035	-5.569854	-0.655849	-1.662480	5.044525	-2.382108	0.702962	0.116429	3.366905	-0.085129	-4.162193	1.828367	1.786278	-1.712223	1.647665	-0.993592	1.199254	-1.451720	-1.886101	2.474643	4.021143	-1.996666	3.033532	0.300835	-1.925778	-1.198536	0.224366	2.021819	-0.080066	-1.285813	0.430792	0.766748	-6.058970	-0.001291	-2.995210	1.352337	-3.235693	2.380885	-0.809578	2.163060	0.280692	-0.826362	-1.652951	-3.172382	-0.679624	-1.070765	-2.612715	-2.034535	2.224217	4.283467	-0.131707	-0.073946	-2.752752	1.376621	-2.058584	3.404967	1.277073	-0.426300	1.928754	-2.429654	-1.874388	2.129146	1.893931	3.473282	-4.474198	2.524202	1.538636	-0.647295	1.189870	2.125407	-1.358348	-2.173841	0.065039	1.512529	-1.288458	-0.128130	-0.717715	0.103813	-1.727946	2.826620	0.778762	-4.128197	0.572071	-0.336498	0.298645	-1.087107
1	48.0	False	False	False	1	20.0	0.0	3	3	1	True	-11.025288	-3.795678	-1.737388	-1.322813	-2.156423	-5.912853	4.186283	-3.576680	-6.426347	3.159344	-4.830573	0.191842	-6.871924	3.057797	0.085797	2.746071	-0.093943	-0.223901	-1.492098	-2.503628	-4.813850	4.188228	-1.277441	2.868077	-2.015915	-1.172454	2.462641	1.707223	-0.276116	-0.938516	2.473477	0.435089	-0.440974	-1.297366	-3.635891	-2.558229	0.413363	-0.674923	1.950665	-3.004352	3.058390	-1.201817	0.595289	-0.771219	-3.004933	0.390489	-0.065892	1.334957	0.656748	0.451429	1.196638	1.375124	1.274605	0.442187	-1.744000	2.319449	1.570544	-0.576949	-0.169359	1.010265	-1.801629	0.613879	-1.738218	-1.387811	-0.321733	0.806535	-3.655466	1.454867	0.208481	0.332798	-3.041917	0.067426	-0.312646	-0.009697	-0.530753	2.392212	0.715594	-2.067933	-0.074921	0.667708	-0.130271	-0.979942	-2.789469	0.234677	-0.261317	0.153757	0.706683	-0.857707	0.957768	1.525501	-0.905291	-0.026384	-0.699413	0.063673	1.674424	2.713216	-2.436896	0.255662	-2.036471	1.993406
2	38.0	False	False	False	1	15.0	0.0	2	1	1	True	-13.135728	-3.058893	-0.030498	-0.483964	5.336800	-4.131843	2.341435	2.076521	-4.177174	-2.419014	-4.288299	-0.780529	-2.261387	1.584077	-2.708174	2.500659	1.529401	-3.909545	2.920720	-5.459583	-2.953400	4.631125	0.379629	3.790653	1.884096	-1.682804	-0.168979	-0.884917	1.157920	-1.356694	0.194097	-2.089105	3.192543	1.130828	-2.292690	-1.153680	-3.642614	-0.432995	0.676602	-3.474911	3.859707	-2.519921	1.197221	0.913977	-2.366005	1.427493	1.708330	3.384200	0.625871	-0.729195	-1.552081	0.265213	1.070386	2.264964	-1.888461	0.963924	0.887235	-1.761404	-1.412520	-1.149235	-1.295081	1.364491	-1.406476	2.268617	-1.215507	-0.696012	-3.566278	-0.506186	-2.165754	-2.784616	-1.679842	1.477627	2.600854	-1.869495	-0.080223	0.377087	-1.106674	0.717518	-2.270098	0.413814	-1.400191	-0.048956	-2.033111	-2.281937	2.921777	-0.503249	-0.023687	-0.425255	1.111113	-0.954354	0.016539	-0.010903	-1.853894	1.273045	-0.233435	1.944929	1.150861	-1.759681	-1.482328	-2.100301
3	50.0	False	True	False	1	15.0	1.0	2	3	1	True	-14.455227	2.617116	-1.153033	8.622665	-0.448925	3.749880	13.918670	0.482140	-8.999689	1.818286	-2.343649	-1.532074	-1.866385	-2.336911	-0.892286	-0.753035	0.341578	3.131392	4.592891	0.113318	-4.547616	-2.136747	4.384115	-0.395372	-3.154138	-2.728470	-0.351291	3.093758	0.108664	3.353144	3.502612	3.197300	-4.712087	-2.671823	1.479209	-0.474093	5.584539	-2.169790	2.345478	-3.533916	-0.845253	0.434199	3.264485	0.401275	-2.255432	-0.446585	1.775820	1.256498	-0.618815	-1.409274	-2.544269	1.970357	-1.743012	1.464230	-1.024151	4.343768	1.137649	-2.198934	-3.796692	1.408697	0.407678	1.792810	-1.773669	-1.803171	-0.533765	1.002971	0.028192	0.932722	-1.057666	-1.643304	-1.221795	1.606162	3.794524	0.741215	0.527746	-0.887023	1.834075	0.296867	0.595999	1.473187	-0.528779	0.141295	2.781818	-0.262928	-0.958000	1.232112	-0.986775	-0.016734	1.114084	-1.788183	0.410500	-0.433427	0.367555	-1.553780	-0.658228	2.309344	0.263229	0.262259	0.189068	-0.785406
4	38.0	False	False	True	1	15.0	0.0	2	2	1	True	-6.153006	10.228359	-0.097261	0.745455	-4.467332	-6.573353	5.757971	-2.411389	1.141044	-4.305214	-2.608953	-2.871912	-3.401214	4.542830	-4.715130	3.188017	3.526002	-0.731473	0.954756	0.607979	-3.035999	-2.561234	5.589953	-2.304925	-2.793639	1.986980	0.817757	-1.467478	-0.535497	-1.760722	-2.203703	0.497792	-1.985938	1.394848	-0.836274	-1.786106	2.324860	-1.342803	-1.755046	-1.351255	-0.091721	2.175480	1.315634	0.847168	-1.259126	0.767275	2.734391	-3.072760	-1.692247	-2.247539	-0.885422	0.353747	1.178807	1.397751	1.052956	-1.243686	0.140542	1.653296	-1.014423	1.368856	-0.702628	-0.564275	-1.678064	-2.894154	1.018958	1.834715	-0.566030	2.439620	-0.241855	-1.738796	0.518499	-1.320284	0.122323	-0.269679	0.701156	-1.822909	1.142053	0.298605	0.215996	1.394866	-0.011386	0.873581	-0.376201	-0.726424	-2.072275	1.951220	1.508748	-0.814256	-0.241488	-2.773654	0.015037	-1.277557	-0.321950	-0.396099	0.866775	-0.638567	-0.759740	-1.673136	-1.951346	1.616051
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
267	48.0	True	False	True	1	30.0	0.0	3	1	3	False	22.356937	-3.241874	-11.104672	3.691007	12.123362	1.334738	-3.242875	-2.081337	2.654466	3.723110	-2.699899	1.899061	1.526335	4.866420	-9.607081	2.306752	5.134354	-0.062832	-0.333253	5.623581	-0.989442	-0.075425	-1.226645	-4.353571	-3.980676	-0.260375	-3.061045	-3.398789	-8.722342	0.358604	-5.466056	6.357568	4.935483	2.002955	8.893617	2.774559	-1.102236	-2.660376	5.239289	-3.867003	4.353744	3.615959	-8.409061	-1.626197	-2.852862	-4.763538	-3.524974	-1.744781	-3.805445	6.780044	-7.055521	-0.844606	3.158976	-2.069023	-1.175860	10.402047	-1.838604	0.054370	-3.058854	-2.977652	3.368675	-1.806951	2.273371	-2.459263	1.231565	1.681389	-0.320996	-4.278175	-0.049271	-4.123818	-4.523675	-1.522924	-3.287879	-3.624150	-6.843846	-1.890706	-0.945962	1.450862	-0.757944	1.586120	0.297123	-3.099672	1.650233	-0.816538	0.970483	-2.109549	-2.645685	-1.628339	0.527197	1.572258	-2.691322	-3.492797	0.265365	-3.874597	2.888918	1.369866	0.623176	-1.475251	-1.836479	-1.864564
268	39.0	False	False	True	1	30.0	0.0	2	1	1	True	-5.243416	-1.479072	0.147379	7.363409	-11.116158	-15.847493	-1.529357	-12.333410	5.712734	-0.362350	7.018008	7.141513	-7.848275	-3.849886	-2.949575	6.078193	-0.641678	0.250452	0.090150	4.045354	-5.119881	5.722100	-1.891554	-3.330727	2.406293	-10.242308	5.613169	-2.524395	-3.509633	-6.065363	3.299920	-1.219427	3.789793	1.819028	5.612113	-0.579189	6.656946	0.981696	6.981812	2.827169	2.559940	-2.188422	-0.738703	-2.817151	3.775213	-2.122407	0.182384	0.887067	-1.351043	2.556346	2.898133	3.008122	-2.295573	0.143970	-1.947146	-1.344374	-0.799890	-5.274735	-0.232374	2.935104	8.489033	-6.196361	-3.718710	4.051292	-3.686502	5.458105	6.114589	-0.307788	1.372819	2.367610	-0.755907	-1.615258	1.543424	-4.743087	-1.245097	1.368483	-0.947128	-5.448167	0.820275	1.506196	3.548948	5.637500	4.864033	1.832745	2.439528	1.237536	0.154117	2.728648	-0.177623	-1.323705	-0.629102	3.080519	-4.818941	0.213724	-3.552459	0.653370	-0.563195	-5.095808	-0.731909	-1.845846
269	50.0	False	False	True	1	27.0	0.0	3	1	1	False	8.786732	-18.503650	-0.197958	19.368653	2.649425	-0.798015	5.928042	-0.933151	10.413646	10.418173	-1.807999	-1.107288	-7.844014	-6.684454	6.518844	1.609114	-4.643531	10.956868	-2.960875	-2.871389	7.841216	-1.810227	10.345033	3.857721	13.727155	7.344396	0.647185	0.255590	-6.021630	7.616225	-2.869577	11.755924	12.841891	-0.003233	-0.994015	2.400444	-1.026362	7.340753	-3.437513	-2.253578	-10.124940	1.408287	4.767358	-8.966619	-9.193011	5.728518	1.480819	7.703744	1.054312	-4.923346	-2.814101	-1.429958	-6.113941	-2.161255	-3.392321	-2.020182	-1.781696	3.749318	2.844212	5.596831	-2.646084	-4.195911	0.049563	-3.342475	-0.708147	1.776466	0.563695	-0.877936	2.310172	-1.591572	0.236616	-0.889861	4.656674	-1.172047	-3.235974	0.382824	1.699005	-4.932157	-2.775416	1.070134	-0.132212	-0.313520	2.133097	-0.949690	-1.493693	-1.101910	2.496392	0.193835	-0.396875	-2.621618	-0.203971	-1.562526	-1.552182	-1.225626	2.197522	1.305877	-0.698576	-1.142324	3.277152	-1.530687
270	52.0	False	True	True	1	28.0	0.0	3	1	1	False	25.529232	-17.817873	3.106663	8.705561	-0.873020	-3.897348	-3.230012	5.833564	5.497559	2.986942	1.565160	5.241639	-4.701142	-1.332742	-7.012219	1.855111	0.749602	-4.479516	-4.510296	-11.795628	9.950143	-11.528105	-1.472371	-6.236331	4.377182	-7.165965	15.875045	8.577205	6.937632	-1.424982	-2.906922	-4.895312	0.856774	2.688563	13.253196	0.727925	-5.477249	-6.564194	-4.543165	-5.815831	0.495393	0.122070	17.629296	9.426632	-1.321009	-2.340074	-0.881322	-3.711487	4.555263	5.923961	10.904825	5.306944	-4.307336	3.200976	1.352339	1.747731	-4.396331	1.329516	0.517527	3.268488	-3.782597	-4.084872	1.993819	-2.619660	-3.199904	-3.213823	-0.119020	1.327978	-1.925160	-2.644113	-2.780253	-1.770173	-0.573936	0.135327	-0.232103	-0.208497	0.510377	-0.465554	-1.068951	-0.486170	-0.054088	-1.374944	-1.811679	-1.237992	-0.004645	-0.577878	-2.723683	-0.675104	-1.173495	0.647108	-0.973854	-1.397674	-0.023579	0.719715	-0.300757	1.453700	-0.613699	0.499915	-0.360596	0.666655
271	52.0	False	False	True	1	30.0	0.0	2	1	1	False	11.417361	-10.189544	3.971728	-14.470247	-2.255700	7.482361	-0.166704	-7.162185	-1.603126	0.443521	5.280922	-0.922374	-11.032332	-2.547131	-2.228878	-2.104238	-2.541941	5.982972	-0.155089	5.213937	-2.816525	-4.241862	-2.945541	1.652549	3.839460	-2.658585	-10.398803	-4.907622	-5.436497	3.347300	2.714957	-0.410557	-5.231900	0.468960	5.290059	-3.455059	0.214522	-1.431989	1.741349	5.962390	1.864228	-7.258048	0.614993	4.677699	0.533422	2.159149	-1.185993	-3.435878	-1.046275	0.930182	0.873974	-1.465676	-0.824100	5.662214	-1.195737	2.167766	4.746288	0.161812	12.722291	4.866895	-3.611601	-2.766190	0.844800	-0.118384	1.178359	3.925902	-1.163907	-2.401569	0.737321	4.641622	1.285971	2.780455	3.393091	-5.663202	8.084987	0.375934	1.472424	6.126872	-1.835175	-0.308313	-5.369004	1.889241	-0.059379	1.359634	-1.177022	1.394756	-1.001871	0.989258	-5.362291	0.761261	-0.798388	-5.008434	-4.689224	-1.582665	2.784633	1.733249	-1.788877	0.443515	-2.258765	0.344887

Análisis predictivo de la supervivencia del cáncer de mama mediante datos clínicos y genéticos: un enfoque basado en aprendizaje automático¶

Análisis exploratorio conjunto de datos NKI¶

Conjunto de datos¶

Características clínicas¶

Variable objetivo¶

Variables genéticas¶

Preprocesamiento¶

Análisis exploratorio de los atributos clínicos¶

Distribución de los atributos clínicos¶

Distribución de la clase objetivo en atributos clínicos numéricos¶

Distribución de la clase objetivo en atributos clínicos categóricos¶

Tratamientos¶

Correlaciones de atributos clínicos¶

Análisis exploratorio de los atributos genéticos¶